{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Riskfolio-Lib Tutorial: \n",
    "<br>__[Financionerioncios](https://financioneroncios.wordpress.com)__\n",
    "<br>__[Orenji](https://www.orenj-i.net)__\n",
    "<br>__[Riskfolio-Lib](https://riskfolio-lib.readthedocs.io/en/latest/)__\n",
    "<br>__[Dany Cajas](https://www.linkedin.com/in/dany-cajas/)__\n",
    "<a href='https://ko-fi.com/B0B833SXD' target='_blank'><img height='36' style='border:0px;height:36px;' src='https://cdn.ko-fi.com/cdn/kofi1.png?v=2' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a> \n",
    "\n",
    "## Tutorial 3: Black Litterman Mean Risk Optimization\n",
    "\n",
    "## 1. Downloading the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[*********************100%%**********************]  25 of 25 completed\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import yfinance as yf\n",
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "pd.options.display.float_format = '{:.4%}'.format\n",
    "\n",
    "# Date range\n",
    "start = '2016-01-01'\n",
    "end = '2019-12-30'\n",
    "\n",
    "# Tickers of assets\n",
    "assets = ['JCI', 'TGT', 'CMCSA', 'CPB', 'MO', 'APA', 'MMC', 'JPM',\n",
    "          'ZION', 'PSA', 'BAX', 'BMY', 'LUV', 'PCAR', 'TXT', 'TMO',\n",
    "          'DE', 'MSFT', 'HPQ', 'SEE', 'VZ', 'CNP', 'NI', 'T', 'BA']\n",
    "assets.sort()\n",
    "\n",
    "# Downloading data\n",
    "data = yf.download(assets, start = start, end = end)\n",
    "data = data.loc[:,('Adj Close', slice(None))]\n",
    "data.columns = assets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-05</th>\n",
       "      <td>-2.0256%</td>\n",
       "      <td>0.4057%</td>\n",
       "      <td>0.4035%</td>\n",
       "      <td>1.9692%</td>\n",
       "      <td>0.0180%</td>\n",
       "      <td>0.9305%</td>\n",
       "      <td>0.3678%</td>\n",
       "      <td>0.5783%</td>\n",
       "      <td>0.9483%</td>\n",
       "      <td>-1.1953%</td>\n",
       "      <td>...</td>\n",
       "      <td>1.5881%</td>\n",
       "      <td>0.0212%</td>\n",
       "      <td>2.8236%</td>\n",
       "      <td>0.9758%</td>\n",
       "      <td>0.6987%</td>\n",
       "      <td>1.7539%</td>\n",
       "      <td>-0.1730%</td>\n",
       "      <td>0.2409%</td>\n",
       "      <td>1.3734%</td>\n",
       "      <td>-1.0857%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-06</th>\n",
       "      <td>-11.4863%</td>\n",
       "      <td>-1.5879%</td>\n",
       "      <td>0.2412%</td>\n",
       "      <td>-1.7557%</td>\n",
       "      <td>-0.7727%</td>\n",
       "      <td>-1.2473%</td>\n",
       "      <td>-0.1736%</td>\n",
       "      <td>-1.1239%</td>\n",
       "      <td>-3.5867%</td>\n",
       "      <td>-0.9551%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.5547%</td>\n",
       "      <td>0.0212%</td>\n",
       "      <td>0.1592%</td>\n",
       "      <td>-1.5646%</td>\n",
       "      <td>0.3108%</td>\n",
       "      <td>-1.0155%</td>\n",
       "      <td>-0.7653%</td>\n",
       "      <td>-3.0048%</td>\n",
       "      <td>-0.9035%</td>\n",
       "      <td>-2.9144%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-07</th>\n",
       "      <td>-5.1388%</td>\n",
       "      <td>-4.1922%</td>\n",
       "      <td>-1.6573%</td>\n",
       "      <td>-2.7699%</td>\n",
       "      <td>-1.1047%</td>\n",
       "      <td>-1.9769%</td>\n",
       "      <td>-1.2207%</td>\n",
       "      <td>-0.8856%</td>\n",
       "      <td>-4.6059%</td>\n",
       "      <td>-2.5394%</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.2066%</td>\n",
       "      <td>-3.0310%</td>\n",
       "      <td>-1.0411%</td>\n",
       "      <td>-3.1557%</td>\n",
       "      <td>-1.6148%</td>\n",
       "      <td>-0.2700%</td>\n",
       "      <td>-2.2844%</td>\n",
       "      <td>-2.0570%</td>\n",
       "      <td>-0.5492%</td>\n",
       "      <td>-3.0020%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-08</th>\n",
       "      <td>0.2736%</td>\n",
       "      <td>-2.2705%</td>\n",
       "      <td>-1.6037%</td>\n",
       "      <td>-2.5425%</td>\n",
       "      <td>0.1099%</td>\n",
       "      <td>-0.2241%</td>\n",
       "      <td>0.5707%</td>\n",
       "      <td>-1.6402%</td>\n",
       "      <td>-1.7641%</td>\n",
       "      <td>-0.1649%</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.1538%</td>\n",
       "      <td>-1.1366%</td>\n",
       "      <td>-0.7308%</td>\n",
       "      <td>-0.1449%</td>\n",
       "      <td>0.0896%</td>\n",
       "      <td>-3.3839%</td>\n",
       "      <td>-0.1117%</td>\n",
       "      <td>-1.1387%</td>\n",
       "      <td>-0.9720%</td>\n",
       "      <td>-1.1254%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-11</th>\n",
       "      <td>-4.3384%</td>\n",
       "      <td>0.1692%</td>\n",
       "      <td>-1.6851%</td>\n",
       "      <td>-1.0215%</td>\n",
       "      <td>0.0915%</td>\n",
       "      <td>-1.1791%</td>\n",
       "      <td>0.5674%</td>\n",
       "      <td>0.5287%</td>\n",
       "      <td>0.6616%</td>\n",
       "      <td>0.0330%</td>\n",
       "      <td>...</td>\n",
       "      <td>1.6435%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.9870%</td>\n",
       "      <td>-0.1450%</td>\n",
       "      <td>1.2224%</td>\n",
       "      <td>1.4570%</td>\n",
       "      <td>0.5367%</td>\n",
       "      <td>-0.4607%</td>\n",
       "      <td>0.5800%</td>\n",
       "      <td>-1.9919%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 APA       BA      BAX      BMY    CMCSA      CNP      CPB  \\\n",
       "Date                                                                         \n",
       "2016-01-05  -2.0256%  0.4057%  0.4035%  1.9692%  0.0180%  0.9305%  0.3678%   \n",
       "2016-01-06 -11.4863% -1.5879%  0.2412% -1.7557% -0.7727% -1.2473% -0.1736%   \n",
       "2016-01-07  -5.1388% -4.1922% -1.6573% -2.7699% -1.1047% -1.9769% -1.2207%   \n",
       "2016-01-08   0.2736% -2.2705% -1.6037% -2.5425%  0.1099% -0.2241%  0.5707%   \n",
       "2016-01-11  -4.3384%  0.1692% -1.6851% -1.0215%  0.0915% -1.1791%  0.5674%   \n",
       "\n",
       "                 DE      HPQ      JCI  ...       NI     PCAR      PSA  \\\n",
       "Date                                   ...                              \n",
       "2016-01-05  0.5783%  0.9483% -1.1953%  ...  1.5881%  0.0212%  2.8236%   \n",
       "2016-01-06 -1.1239% -3.5867% -0.9551%  ...  0.5547%  0.0212%  0.1592%   \n",
       "2016-01-07 -0.8856% -4.6059% -2.5394%  ... -2.2066% -3.0310% -1.0411%   \n",
       "2016-01-08 -1.6402% -1.7641% -0.1649%  ... -0.1538% -1.1366% -0.7308%   \n",
       "2016-01-11  0.5287%  0.6616%  0.0330%  ...  1.6435%  0.0000%  0.9870%   \n",
       "\n",
       "                SEE        T      TGT      TMO      TXT       VZ     ZION  \n",
       "Date                                                                       \n",
       "2016-01-05  0.9758%  0.6987%  1.7539% -0.1730%  0.2409%  1.3734% -1.0857%  \n",
       "2016-01-06 -1.5646%  0.3108% -1.0155% -0.7653% -3.0048% -0.9035% -2.9144%  \n",
       "2016-01-07 -3.1557% -1.6148% -0.2700% -2.2844% -2.0570% -0.5492% -3.0020%  \n",
       "2016-01-08 -0.1449%  0.0896% -3.3839% -0.1117% -1.1387% -0.9720% -1.1254%  \n",
       "2016-01-11 -0.1450%  1.2224%  1.4570%  0.5367% -0.4607%  0.5800% -1.9919%  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculating returns\n",
    "\n",
    "Y = data[assets].pct_change().dropna()\n",
    "\n",
    "display(Y.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Estimating Black Litterman Portfolios\n",
    "\n",
    "### 2.1 Calculating a reference portfolio."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\n",
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       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>weights</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>6.1590%</td>\n",
       "      <td>11.5017%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>8.4806%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>3.8194%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>...</td>\n",
       "      <td>10.8264%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>7.1804%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>4.2740%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            APA      BA      BAX     BMY   CMCSA     CNP     CPB      DE  \\\n",
       "weights 0.0000% 6.1590% 11.5017% 0.0000% 0.0000% 8.4806% 0.0000% 3.8194%   \n",
       "\n",
       "            HPQ     JCI  ...       NI    PCAR     PSA     SEE       T     TGT  \\\n",
       "weights 0.0000% 0.0000%  ... 10.8264% 0.0000% 0.0000% 0.0000% 0.0000% 7.1804%   \n",
       "\n",
       "            TMO     TXT      VZ    ZION  \n",
       "weights 0.0000% 0.0000% 4.2740% 0.0000%  \n",
       "\n",
       "[1 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import riskfolio as rp\n",
    "\n",
    "# Building the portfolio object\n",
    "port = rp.Portfolio(returns=Y)\n",
    "\n",
    "# Calculating optimal portfolio\n",
    "\n",
    "# Select method and estimate input parameters:\n",
    "\n",
    "method_mu='hist' # Method to estimate expected returns based on historical data.\n",
    "method_cov='hist' # Method to estimate covariance matrix based on historical data.\n",
    "\n",
    "port.assets_stats(method_mu=method_mu, method_cov=method_cov)\n",
    "\n",
    "# Estimate optimal portfolio:\n",
    "\n",
    "port.alpha = 0.05\n",
    "model='Classic' # Could be Classic (historical), BL (Black Litterman) or FM (Factor Model)\n",
    "rm = 'MV' # Risk measure used, this time will be variance\n",
    "obj = 'Sharpe' # Objective function, could be MinRisk, MaxRet, Utility or Sharpe\n",
    "hist = True # Use historical scenarios for risk measures that depend on scenarios\n",
    "rf = 0 # Risk free rate\n",
    "l = 0 # Risk aversion factor, only useful when obj is 'Utility'\n",
    "\n",
    "w = port.optimization(model=model, rm=rm, obj=obj, rf=rf, l=l, hist=hist)\n",
    "\n",
    "display(w.T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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HUbZsWQDAH3/8gXr16qFSpUq5fixERERERER5gUV3LurRowfOnTuH4OBghISE4Pz58+jevXumNnK5HD4+PvD19YWJiQlq1qyJiRMnfrLnedy4cRlFuoGBQUZPdV5ISUnBxo0bM/Vef0pQUBCAt+eDT5o0CQcOHICpqSnq1q2bMVx+/PjxkMvlKFasGHbv3o01a9YgMDAQ69atw+TJkzF48GA4OzujY8eOeP36da4fGxERERERUW7h8PJcZGFhAS8vL/j6+kIQBHh5ecHCwuKjdu3atYOXlxfOnj2LCxcu4MiRI5g7dy5Wr16dacK1sWPHZrr+qW3lll27diEuLg49e/b8Yju1Wg0A+PXXX9GuXTsAgLe3N+zs7LB9+3YMGjQIxsbG2LRpU6bHNWjQAPPmzcPGjRsRFBSEBw8eYMCAAZg+ffoXJ1U7deoU+vbti/T09GweIRFpkpIlS+L48eNixyAiIiLKNhbduaxv374YPnw4AODvv//+bDuFQoEffvgBP/zwA6ZMmYL+/ftj6tSpHxXZxYsXz+3In7R69Wo0b978q+eK29jYAADc3d0zbtPT04OzszNCQ0M/+Zi1a9fCxMQErVq1Qtu2bdG6dWvo6OigQ4cOmDJlyhf3V6JECfTp04dFN1E+cufOHezatQvJyclQKBRixyEiIiLKFhbduaxp06ZITU0FADRp0uSbH+fu7o49e/bkUqqsefLkCU6dOoV9+/Z9te37JcgePHiAWrVqAXg7QVpwcDAcHR0/ah8ZGYkZM2bg3LlzAID09HSoVKqMx32tmLa1tf1qYU5E2uXQoUPYtWsXYmJiUKRIEbHjEBEREWULz+nOZTKZDAEBAQgICPjkjNzR0dFo0KABNmzYgFu3buHJkyfYvn075s6di1atWuVqtkePHuHGjRuIiIhAUlISbty4gRs3bmR8SfDe2rVrMyZE+6/Lly/D1dUVYWFhAAAjIyMMHjwYU6dOxbFjx/DgwQMMGTIEANChQ4ePHj9y5EiMGTMGtra2AICaNWti/fr1CAgIwMqVK1GzZs2cPmwi0nDm5uYA3r4/EhEREWk79nTnASMjo8/eZ2BggKpVq2LBggV4/PgxVCoV7O3tMWDAAEycODFXc/Xv3x+nT5/OuF6+fHkAb3u2nZycALw9R9vHxwe9e/f+5JcGiYmJePDgQUbvNADMmzcPcrkcPXr0QFJSEqpWrYqTJ0/C1NQ002OPHj2Kx48fY8OGDRm3DR8+HFevXkXVqlVRpUoVTJ06NScPmYi0gJmZGQAW3URERJQ/SARBEMQOoc0kEgn4FOY9Pu9E+VdMTAzMzc2xY8eOjAkZiYiIiLQVh5cTEZFGMTExgVQqZU83ERER5QssuomISKNIpVKYmpoiJiZG7ChERERE2caim4iINI6ZmRl7uomIiChfYNFNREQax9zcnEU3ERER5QssuomISOOw6CYiIqL8gkU3ERFpHHNzc57TTURERPkC1+nOJkdHR0gkErFjFDiOjo5iRyCiXGRmZoYrV66IHYOIiIgo21h0Z1NwcLDYEYiI8h0OLyciIqL8gsPLiYhI47wfXi4IgthRiIiIiLKFRTcREWkcc3NzpKWlIS4uTuwoRERERNnCopuIiDSOmZkZAHCIOREREWk9Ft1ERKRxzM3NAbDoJiIiIu3HopuIiDQOi24iIiLKL1h0ExGRxnlfdHOtbiIiItJ2LLqJiEjj6OvrQ1dXlz3dREREpPVYdBMRkcaRSCRcq5uIiIjyBRbdRESkkSwsLBAbGyt2DCIiIqJskQiCIIgdgoiI6L9Onz4NKysruLm5iR2FiIiI6Lux6CYiIo0jCALi4uIQHR2N169fIzY2NuPy4fXXr19DpVJBEITvvgCAUqmEiYkJTE1NYWpqmunnD6+bmJhAJpOJ/OwQERGRNmHRTUREeUYQBLx8+RKBgYEICgrCixcv8PLly7eXyEi8fPH258jIl0hJSfnkNhRKfRQyNEIhA2PoFzKETK4DiUQCiQQAJJBIJIDk3b/vrr/9GR/8/P/tAECVmoyEuNcZl/i411Cr1Z/cv4GhIUxM3hbjZqamMDV9W5BbW1ujWLFicHZ2RrFixWBra8sCnYiIiFh0ExFRzhIEAZGRkQgMDERgYCAePXqEwMBAPHwYiEePHyE+Li6jrYGhEYxNLWBkagFDY3MYm1q8u7z92cDYFAaGxm8LbAND6BsYQUdHN9ePQa1WIykxHglxsUiIe4P4uNi3xfib10iIf1eYv3l7W0L828urqBeIjAjL6D3X1dWFg6MTijk7o3jx/y/GixUrhqJFi6JQoUK5fhxEREQkPhbdRESUZYIgICoq6rOFddybNxltLaxsYG1XFDb2zrB596+1nROsbZ2gp1CKeBQ5T5WagpfhT/HieQgingXjxfNQRIQFI/J5KMLDgpGSnJTRtnBhazj/pyB3d3dHmTJloKub+18sEBERUd5g0U1ERF/14sULXLp0CZcuXcLFS5fw77//4vUHM4ubW1rDxt4ZhW2dYGNfFEXsnWFj5wxrO0foKfTFC65BBEHAq+iXeBEWgoiwYLx4HoIXYSF4+TwEEWEheBX9EsDbHvKyZcuhSpXKqFSpEipXrgw3NzcOVSciItJSLLqJiCiTpKQkXLt27f+L7IuXEBoaAgAwNbdCcffyKO7mAVvH4u96r52gUHKodHYlJSYgNOg+HgVcx6N7NxB0/yaehTyCIAjQ19dH+fIVUKVKZVSu/PZSrFixjHPViYiISHOx6CYiKsDUajUCAwNx8eLFjAL79u1bSEtLg66eAsVcy6K4e3mUcK8Al1IVYGltx0IvDyUmxCHowS08uncDj+7fRND9m4gIe/sFiLGJCSpVrJSpR9zOjq8PERGRpmHRTURUgCQmJuLMmTPw9/fHxYuXcPnK5Yxh4vZOLijuXh4upd4W2I7F3CCX64gbmD7yJjYajwJu4vH9m3gUcANB928gOvIFAMDKqjDq1auLpk2bokmTJihSpIjIaYmIiIhFNxFRPvf48WMcOnQIBw8ewunTfkhOToaJqUWmAtvFzQOFDI3FjkrfKSYyAo8CbuDh3Wu48+9ZBN67AUEQUKpUaTRr9rYAr127NvT09MSOSkREVOCw6CYiymeSk5Nx5swZHDp0CIcOHUZg4EPIdXTg7lENFao3RIXqDWDr6MJhyPnYm9ho3LpyFtcvncLNS6cQE/USSn191KtbL6MId3Hh/wEiIqK8wKKbiCgfCAkJweHDh3Hw4CGcOHkCSYmJsChcBOWrNUTFGg1RpmItKAsZiB2TRCAIAkIeB+DGxVO4cekUAm5ehkqVCkdHp4wCvEGDBjAyMhI7KhERUb7EopuISAulpqbi/PnzGcPGAwLuQSaTwa1cVZSv3gAVqjeEg7MrezLpI0mJCbh77TyuX/LDrct+CAsNglwuR/XqNdC0aRN4enqiXLly/L9DRESUQ1h0ExFpicTEROzZswfbd+zA8ePHkRAfDzMLK5Sv1hAVajRE2cp1UMiAvZWUNRFhIbhx6RSuXzyFO/+eQ1JiAkqWdEX37t3QtWtXODs7ix2RiIhIq7HoJiLSYGq1Gn5+fli/fj2279iBhPh4lCxdERVrNkaF6g1QtERp9khSjlGpUnH76jmcPbYLl08fRlJSAqpVq45u3bqiU6dOsLS0FDsiERGR1mHRTUSkge7du4f169dj/foNCAt7Bhs7J9Rt2gF1mraHta2j2PGoAEhOSsCVs8dw9thOXL/kBwgCfvihMbp374ZWrVrBwIBzBBAREX0LFt1ERBrixYsX2Lx5M9atW4/r16/B0MgENRq1Qr2mHVCidEX2aJNo3sRGw//kfpw9tgsBNy9DX18frVu3RteuXdG4cWPo6HA9dyIios9h0U1EJKKkpCTs3bsX69atx7FjRyGRSlGxxg+o27Q9KtZoCB1drqtMmuVleCjOHN2Nc8d3ITToAczNLdCpU0d069YN1atX55dDRERE/8Gim4goj6nVapw5cwbr1q3D9h07EB8XB9cylVCnaXvUbNgShsZmYkck+ipBEBD86B7OHt2Jc//sQdSL53B0dEL37t0waNAg2Nvbix2RiIhII7DoJiLKI5GRkVixYgVWrVqNp09DYW3riDpN2qFO0/YoYs8Zokl7qdVq3LtxAWeO7sKFk/uQnJSINm3bYtRPP7H3m4iICjwW3UREuSwgIAALFy7EunXrIECC2o3bor5nR7iWrcJihPKdpIR4nDq0FYd3rEFYaBAqVqyEn34aiY4dO0JXV1fseERERHmORTcRUS4QBAEnT57En3/+hcOHD8HMwgpN2/VF49Y9YGRiLnY8olynVqtx/eJJHNy2Gjcu+aFwYWsMGzYUgwYNgpWVldjxiIiI8gyLbiKiHJSSkoLNmzfjr78W4PbtWyjq4o7mnQah1g+tOSkaFVhPnzzAwW1rcPrIdkBQo0uXLhg5ciQ8PDzEjkZERJTrWHQTEeWAqKgorFixAkuWLMXLly9QqWYjtOg8GKUr1uQQcqJ34l6/wvF9G3B0lw8iI8JQp05d/PTTSLRs2RIymUzseERERLmCRTcRUTbcv38fCxcuhK+vL9QCUK9ZRzTvNAB2Ti5iRyPSWOlpabh0+hAObl+NgJuX4ejohBEjfkTfvn1hYmIidjwiIqIcxaKbiCiLPnW+dpO2fdCkTU+er02URY8CbuDgttU4f2IvdHV10a9vX4wbNw62trZiRyMiIsoRLLqJiL6RIAjYt28fpkyZilu3bvJ8baIcFBP1Akd3+eDITm+kpiRh0KBBGD9+PGxsbMSORkRElC0suomIvoGfnx/Gj5+AS5cuomylWmjbcyTKVKrF87WJclhiQhwObF2FA1v+hzRVCoYMGYJx48ahcOHCYkcjIiL6Liy6iYi+4N9//8WECRNx/PgxFHfzQLfBE1GuSh2xYxHlewlxr7F/60oc3LoS6vQ0DB06FL/88guXGyMiIq3DopuI6BMePnyISZMnY/u2bbBzLI4ug8ajWj0v9mwT5bH4N7HYv+V/OLhtFdLSVOjapQv++usvmJqaih2NiIjom7DoJiL6wLNnzzBt2jR4e3vD1KIwOvX7GfWadYRMLhc7GlGBdufaeUwZ1g6QSGBoaISJE8ZjxIgR0NfXFzsaERHRF0nFDkBEpAmio6Pxyy+/wMXFBdt27EKPYZOxdKs/GrboyoKbSAPs3bQcMh09FBmwCiheG79Omgynos5YtmwZVCqV2PGIiIg+iz3dRFSgxcfHY9GiRfhj7lykpaWjRedBaNl1CPQLGYodjYjeeXDnX0wY4AWD8l4wbzwEAKCKjcCb85sQf/cUXFxKYPGihWjatKnISYmIiD7GopuICqTU1FSsXLkSM2b8jlevXqFxm15o12sETMwsxY5GRP8xZVg7BNz5F0VGboFUmnnkSerLILw+uRqJIbfQtFkzLFywACVLlhQpKRER0cdYdBNRgbNnzx6MGjUaoaEhqNusAzr1+xlWNvZixyKiT7j97zlMHd4eRlXbw7Re70+2EQQBiQ/9EXfaG2lxURjx44+YMmUKTExM8jQrERHRp7DoJqICIzQ0FMOH/4j9+/ehQvUG6Dl8ChycXcWORUSfIQgCxvf3RNDjBygyYguk0i9PRSOkpeLNlT2Iv7QdhoX0MWvm7xgwYABkMlkeJSYiIvoYJ1IjonwvLS0Nf/75J9zc3eF/8TLGzlqNX//cyIKbSMP96/8PAu9dh0HV9l8tuAFAIteFcfWOKNxvBVRFPDBkyBCULeeBkydP5kFaIiKiT2NPNxHla5cvX8bAgYNw69ZNNGvfF10HjeckaURaQK1WY3TPhnj+/Blshm/8pqL7v1LCH+LNydVIfHYPHTt2xKJFi2BtbZ0LaYmIiD6PPd1ElC+9fv0aQ4cORbVq1RCfosYfaw6j/+iZLLiJtMTFUwcQ+jgAhrW6f1fBDQB6NiVg0fUPmDcfg90Hj6JESVesWbMG7G8gIqK8xJ5uIspXBEHA9u3bMWLESLyJi0OXgePRrF0frrVNpEXS09IwokttRL56BdvhG3Jmm0lvEHtqLeJv/4Natetg9aqVnOWciIjyBHu6iSjfCAoKQrNmnujUqROKulbAos1n0bzTABbcRFrm9NEdCH/2BMb1++XYNmVKI5h7/gSrzjNx9d5jlClTFjNmzEBqamqO7YOIiOhT2NNNRFpPpVLhzz//xLRp02BkYoF+o2ehcu3GYsciou+gUqViaPtqeJ2UCtuhPrmyD7UqBa8vbEX85Z1wcSmBNatXoWbNmrmyLyIiIvZ0E5FWO3/+PDw8ymPSpElo3KY3Fmw8zYKbSIv9s28jol8+h8kPQ3JtH1IdPZjW6YnCvRYhNE5ArVq1MHjwYLx58ybX9klERAUXe7qJSCvFxcVhzJgxWLVqFUqWroCBv8xDUZdSYsciomxISU7E4LaVkSDowHbQ6jzZp6BOR/yNw3hzZh2srSywccN61KlTJ0/2TUREBQN7uolI61y8eBEeHuWxYcMmDPh5Nn5fsZ8FN1E+cHinD97ExsCs2cg826dEKoNhheYo3GcJYiRGqFevHn755RekpKTkWQYiIsrfWHQTkdZIS0vDb7/9hlq1akFH3wR/rjvxdmZymUzsaESUTYkJcdjpsxAyMzsoHcrk+f7lxoVh0WkmjOv2xp8LFqJCxUq4detWnucgIqL8h0U3EWmFR48eoWbNWvj999/Rvs8o/L58L6ztnMSORUQ55MCWlUhMiIeF5yjRMkikMhhXbYfCPf5CUFQCKlWqjHnz5iE9PV20TEREpP14TjcRaTRBEODt7Y0fR4yAkYkFRk79GyXLVBI7FhHloLjXrzCwTUWojWxQpPciseMAAIQ0FWLPrsebK7tRo0ZNbNywHk5OTmLHIiIiLcSebiLSWDExMahVqxb69euH6vVb4k/fEyy4ifKhPRv/hiolGRZeo8WOkkEi14Fp/b4o3HkW/r0XiNJlysDHxwfsqyAioqxi0U1EGun8+fPwKFsa/v7+0JVL0WnAWCgLGYgdi4hy2Kvol9i/ZSXkNq7QtXQUO85HFA5lYNVrCSROVdGnTx/07NkLCQkJYsciIiItwqKbiDRKeno6Zs6cibp168BRHg2/XvqQS9SYPKS12NGIKBfs9F0EtTodli3GiB3ls6R6+jD3GgXz5mOwedt2VKxUGQEBAWLHIiIiLcGim4g0Rnh4OBo3aojJkydhYk05TvXUQ10nOVY2V+LF81D8b+4vYkckohz0Mvwpju7yha59WciNC4sd56sMStWHVY+/EBKTiIqVKmPjxo1iRyIiIi3AopuINML58+dRwaMcAq7540QPfUyvr4BcKgEAdCurg+5ldfDPnnW4ffWcyEmJKKdsW/snAMDcS7wZy7NK18IBlt3+hMy5Krp3746BAwciOTlZ7FhERKTBWHQTkagEQcCyZctQv149FFe+xrUBeqhfVP5Ru2WeCtgZS/HHuB5ITk4UISkR5aTnoY9x6tA26DpXgtzATOw4WSLVVcDMcxTMmv6INd6+qFK1Gh49eiR2LCIi0lAsuolINMnJyejXty+GDRuGQeWlONFDD9YGn35bMtSTYHt7JVKSkvDb8A55nJSIctrmlXMhlcpg4fmT2FG+i0QigWG5JijcfT4Cw6LgUaECdu7cKXYsIiLSQCy6iUgUT58+Re2aNbB54zr4tlZgiacCujLJFx9T2VaGmQ308PDuv9i7cXkeJSWinBb86B7On9gLvRI1IVVo96oEuoWdYdnjL8C2LNq3b4/x48cjPT1d7FhERKRBJAIXnCSiPObn54eO7dtBqY7Drva6qFhE9s2PVQsCGq1Lwrmnavy18QxsHYvnYlIiyg2zxvbA9UtnUGT4Rkh1FWLHyRGCICDuym7E+vnA08sTmzdtgqGhodixiIhIA7Cnm4jyjCAIWLBgARo1aogyxvG42k8vSwU3AEglEmxoq0AhHQFThraGWq3OpbRElBse3r2Gq+eOQ1mqYb4puIG3w82NqrSFZbvJOPrPKVStVh1PnjwROxYREWkAFt1ElCcSExPRvVs3jB49GqOqyHG0mx4sC33fW1ARQynWtVbgVUwU/po8KIeTElFu2rh8FmS6Cpg27C92lFyhLFYZlt3m4UnEK1SoWAlnzpwROxIREYmMRTcR5bqXL1+iQb262LNzGza3U2Je4/9fDux7tSipg2GVdXDx1H5cOHUwh5ISUW66c+08bv97DoXKe0Eq1xU7Tq7RtXCARff5SDW2R4OGDbF69WqxIxERkYh4TjcR5aoHDx7As2ljJESH40BnXVTK4nDyL0lOE1BxZQKC3sjxv703YWhsmmPbJqKcJQgCJgzwQtCj+7AZsQVSaf7/3l9IT8OrEysRd/0QRo4cifnz50Mu/3hJRCIiyt/y/188IhLN2bNnUaNaVeglRuBiX70cLbgBQCGXYHsHJdRpqZg0pFWObpuIcta1Cyfw8O41FKrSrkAU3AAgkclh1ngozH4YgsVLlqKZpydiY2PFjkVERHmsYPzVI6I8t2XLFjRq2BDlTJPg30cPTia583bjbinDoqYKPH3yEOuXzcyVfRBR9qjVamxYPgtypQGMqnUQO06eM6zgBcsO03D6/EXUrFUbYWFhYkciIqI8xKKbiHKUIAiYM2cOunTpgk5uEhzppgcTRfbO3/6aQRV10LKkHPs3LkXgveu5ui8iyrqLfgcR8ugeDGt2KzC93P+ldPKAZZe5eBz2ElWrVUdAQIDYkYiIKI/wnG4iyjFpaWkYNnQoVq5ahcl1dDGtnh4kktwtuN+LTlSj1PIEJEoMserAHejq5t9Jmoi0SXp6OkZ0qYXI6BjY/rhR7DiiS4uLQvSO36CX+hqHDx1E9erVxY5ERES5rGB+3UxEOS4uLg4tmnth7drVWNNSgen1FXlWcAOAub4UW9opER/3BrN/7pFn+yWiLztzZAfCnz6Bcb2+YkfRCHJDC1h0mQOVkS3qN2iIAwcOiB2JiIhyGYtuIsq2qKgo1KtTG+dPn8ChLkr0LS9OL3M9Jzkm1tbFrSuncXwve9SIxKZSpWLTyj8gNzSHQZmGYsfRGDKFAczbT4PcoTxatW6NtWvXih2JiIhyEYtuIsqW8PBw1K1dC08f3cXZXgr8UEzc5XCm1tVDJVsZ1vz5CyJfcLIiIjGd2L8J0S+fw6TRYLGjaBypjh7MW42Dfpkf0K9fP8ycORM844+IKH/iOd1E9N1CQkLQsH5dJMc8x4nuuihpkbNLgn2vJ6/UKLM8HoXM7bBs5+UCO3ETkZhSkpMwuG1lJKhlsB28Ruw4GksQBLz234LX5zZi6NChWLJkCd+ziIjyGb6rE9F3efjwIWrXrA7hzXOc7aWnMQU3ABQ1lWJVCyVeRjzDij9+ETsOUYF0ZJcPXsdGw6zpCLGjaDSJRAKTml1g1mQ4li9fgd69+yA9PV3sWERElINYdBNRlt25cwd1atVEIVU0zvTUQ1FTzXsr6VJGBz3L6eDU/g24eeWM2HGICpSkhHjs8FkIuZktlE7lxI6jFQw9msK8+Rhs2LgRPXr0RFpamtiRiIgoh2jeJ2Ui0mhXr15F3dq1YKPzBmd66sLWSHPfRpY2U8DeWIp543ohKTFe7DhEBcb+rSuRGB8Hc89RYkfRKoXc68K8xVhs3bYVXbt2hUqlEjsSERHlAM39tExEGufcuXNoUL8uShgm4WR3PVgW0uy3EEM9CbZ3UCI1JQm//dhB7DhEBULc61fYvWEp5JZOUBQpKXYcrVPItRbMW47Dzl270bFTJ6SmpoodiYiIskmzPzETkcY4fvw4Gv/QCBUt03Csmx5MlXm3Bnd2VCoiw6wGegi8dx271y8VOw5Rvrd34zKoUlJg0XyM2FG0ln6JGjBvPQH79h9Au/btkZKSInYkIiLKBhbdRPRVJ0+eRIvmXqhnL+BQFz0Y6mlHwf3emBq6aFhUji3/m4mnwQ/FjkOUb72Kfon9W1dCblMCupaOYsfRavrFq8Ki9a84dPgoWrdpg+TkZLEjERHRd2LRTURfdP78ebRs0Rz1HCTY3VEPSh3tKrgBQCqRYH0bBQx0gKlD20CtVosdiShf2rVuMdLT09jLnUOUxSrBou1kHP/nJFq0bImkpCSxIxER0Xdg0U1En3X16lV4NmuCilbp2NVRD3py7Su437MxlGJ9GwViX0Vj/qQBYschynciI57hyE4f6NqVgY6Jtdhx8g1l0fKwaDcVp06fRYuWLTnUnIhIC7HoJqJPun37Npr80AhuJioc6KwHfS3s4f4vrxI6GFFFF5f9DsL/5H6x4xDlK9vW/gkAMG8+WuQk+Y/CsSws2k7BKb8z6NylC5cTIyLSMiy6iegjDx48QKMG9eGgTMKRrtp3DveX/PGDHtwtpVg6bSjexEaLHYcoX3j+NAgnD26FbtGKkBuYiR0nX1I4loV5q3HYu3cf+vcfwNNkiIi0CItuIsrkyZMnaFi/LixkcTjWTRcmivxTcAOAQi7BtvZKCOkqTBrSWuw4RPnCllVzIZXKYOHFdblzk37xqjD3GgXfdb4YNWoUBEEQOxIREX0DFt1ElOHZs2doWL8ulKpX+Kebrsavw/293CxlWNxMgWfBgVi3dLrYcYi0WsijAJw7vhd6JWpAqjAQO06+V8i9Hsx+GILFixdj2rRpYschIqJvkD8/URNRlr148QIN69dF+psInOiuCxvD/P32MKCCDlq7ynFg83I8vPOv2HGItNam/82GTEcH5k1+FDtKgWFY3hMmdXth2rRpWLBggdhxiIjoK/L3p2oi+iZxcXFo2vgHxL18ihPd9eBgnP/fGiQSCda0VMJSH5g5ujNSU1PFjkSkdQLvXsOVc8egdG8Aqa5C7DgFinG1DjCq2h6jR4/G2rVrxY5DRERfkP8/WRPRF6lUKnRo3w5BgfdwpKsuipsVnLcFM6UEW9orER8Xh5ljuoodh0jrbFwxGzJdBUwbDRQ7SoFkUrcXDDyaYsCAAdixY4fYcYiI6DMKzqdrIvqIIAgYOmQITpz4Bzvb66FsYZnYkfJcHUc5JtXRxZ2r53Bsz3qx4xBpjbvX/HHr6lkUKucJqVxX7DgFkkQigdkPQ6B0rY2uXbvh3LlzYkciIqJPYNFNVIDNmjULq9eswermemjkLBc7jmim1NVDFTsZ1v45Hi8jnokdh0jjCYKADctnQqanhHG93mLHKdAkUhnMm/0EnSIl0aJlKwQGBoodiYiI/oNFN1EBtWHDBkyaNAnT6umhl0fB7qWSSyXY0k4JXWk6Jg9uyfVvib7i+sWTeHDnXxhUaQeplB8lxCaR68Cs1UQkywqhaTNPREdHix2JiIg+wL+URAXQyZMn0bdPH/Qtr4vJdQp2wf2ek4kUq1soEfniOZbNHiN2HCKNpVarsX7ZTMgVBjCq1lHsOPSOTGkIs7ZT8DQiEi1atkJKSorYkYiI6B0W3UQFzJ07d9C2TSvUd5JihZceJBKJ2JE0RqfSOujtoYPTBzfj+sVTYsch0kgX/Q4i5NE9GNbqyl5uDaNjagOz1pNw6fIV9OnTF4IgiB2JiIgASAS+I+c6JycnhISEiB0jX3F0dERwcLDYMbTO8+fPUa1KJZipo3Gmlx6M9Fhw/1d8qoByKxIQnqyLVftvQ7+QodiRiDRGeno6RnapjZfR0bD9caPYcegzEgLOImrfH5g8eTKmT58udhwiogKPX1HngZCQEAiCwEsOXvglRtYlJCTAq1lTCAlRONhZlwX3ZxjoSrC9gxKqlGRMHd5e7DhEGuXM0Z14/jQIxvX6iB2FvqCQW22Y1O2FGTNmwNfXV+w4REQFHotuogJAEAT07dMHgQ/u4VBnXdga8Vf/SyrYyDCnoR4e37+JHT4LxY5DpBFUqlRsXvkH5AbmMCjTSOw49BVGVdvDoFxj9O8/AKdO8XQZIiIx8ZM3UQEwf/58bNu+Hb4tdVGmAK7F/T1GVddFI2c5tq/+A6FB98WOQyS6k/s3I+pFGEx+GCR2FPoGb9fwHgpd+1Jo2649T8kiIhIRz+nOAxKJhJOZ5DA+p9/u+PHjaNq0CcbX0MHMhgqx42iViHg1Si9LQLrCFCv33YJcXnDXMqeCLSU5CYPbVkaCWgbbwWvEjkNZkJ70BpHrR8PV0QYX/M9DqVSKHYmIqMBhT7dIevfuDYlEknExNzdH06ZNcevWrU+2HzhwIGQyGbZs2fLRfZ06dULVqlWRnp6ecZtKpUKFChXQvXv3z2Y4c+YMWrRogSJFikAikWDPnj0ftdm1axeaNGkCCwsLSCQS3Lhx46vH5uPjk+nY3l+Sk5Mz2mzcuBH29vYwMzPD2LFjMz0+ODgYJUqUwJs3b766L/qyoKAgdOrYHk2K6WB6fT2x42gdawMp1rdRIPZVDOb/2l/sOESiObrbF69jo2HW9Eexo1AWyZRGMGs1EXfu3sPgwUP4hTURkQhYdIuoadOmCA8PR3h4OE6cOAG5XI7mzZt/1C4xMRFbt27F2LFjsWbNxz0My5YtQ0hICObMmZNx24wZMxAREYElS5Z8dv8JCQkoV64cli5d+sU2NWvWzLTtb2FkZJRxbO8vCsXbXtaoqCj0798f8+fPx9GjR+Hr64uDBw9mPHbIkCGYM2cOjIyMsrRPyiwhIQFtWrWEmSwJG9voQSblxGnfo5mLDn6qqourZ4/g7LHdYschynNJCfHY7r0ActMiUDp5iB2HvoNuYWeYNBmOdet8sXz5crHjEBEVOBwrKSI9PT1YW1sDAKytrTFu3DjUqVMHkZGRsLS0zGi3fft2uLu7Y8KECbCxsUFwcDCcnJwy7jc3N8fKlSvRoUMHtGjRAiqVCrNnz8bevXthamr62f03a9YMzZo1+2LGHj16AECWzwWTSCQZx/ZfQUFBMDY2RqdOnQAA9evXx7179+Dl5YVNmzZBV1cXbdu2zdL+KDNBENCvb188DryPi30VMFWy4M6OOY30cOJJOpbNHIEylWrBxMzy6w8iyicObFuFxPg3sOo2SewolA0GpeojNfwhRowcCQ8PD9SoUUPsSEREBQZ7ujVEfHw8Nm7ciOLFi8Pc3DzTfWvWrEH37t1hbGwMT09PeHt7f/T4li1bonPnzujZsyd69uyJXr16wdPTM6/ifyQ+Ph6Ojo6ws7ND8+bNcf369Yz7XFxckJiYiOvXryMmJgZXrlxB2bJlERMTgylTpnyx552+zfz587F12zb4tNRFaStOnJZdenIJtnVQQKJWYfKQ1mLHIcoz8W9isXv9UsgtnaCwdRM7DmWTaf1+0CviijZt2yE8PFzsOEREBQaLbhEdOHAABgYGMDAwgKGhIfbt24etW7dCKv3/lyUwMBAXL17M6BXu3r07vL29oVarP9reokWL8PDhQ0RHR+Ovv/7Ks+P4L1dXV/j4+GDfvn3YvHkzFAoFatasicDAQACAqakpfH190bNnT1SpUgU9e/ZEkyZN8PPPP+PHH3/EkydPUL58eZQuXRo7duwQ7Ti01fHjxzF+/DiMr6mL9u46YsfJN1wtZFjSTIGw0MfwXvyb2HGI8sSejcuQmpIEi+ZjxI5COUAik8OsxTjEJqWhbbv2SE1NFTsSEVGBwNnL88CnZtru3bs3wsLCMs6tiomJwbJly3D48GFcvnwZjo6OAIDx48fj7t272L9/PwAgNTUVNjY22Lx5Mxo3bpxpm8uWLcPYsWORkpICf39/VKlSJUsZd+/ejdatW3/y/uDgYBQtWhTXr1+Hh4fHN28XANRqNSpUqIA6depg8eLFn2zj5+eHsWPH4vTp0yhevDg2b94Ma2trVKlSBYGBgbCysvooryAIOHXqFHr27JlpEjlNUaxYMSxduhTlypXLs30+ffoUHuXKoIpFEg505nncOU0QBLTfnoR9D9IwY8UBlCxTSexIRLkmNiYSg9pUgsSiKGx6zBc7DuWglLAAvNw8AUMGD+LoMiKiPMBzukVUqFAhFC9ePON6xYoVYWxsjFWrVuH3339Heno61q1bh4iIiExLFaWnp2PNmjWZiu6goCD88ssvWLp0Kc6fP4/evXvj+vXr0NMTf8ZqqVSKypUrZ/R0/1dKSgqGDh2KDRs24NGjR0hLS0PdunUBACVKlMClS5fQokWLTz7W1dUVQ4YM0biiWxAEbN++HZUqVcKvv/6KiRMnQldXN1f3mZaWhm5dOqOQkIiNbRQsuHOBRCLB6hZKlH4Wj5mjO2P1/jvQVXAZNjGlpiQjIf4NEuJeIyH+DZIS4qBWp0MQhLdfdgoCBAEQ8P5nIeNLUF09BQyMTGBgaIxC7y5yOUeHvLfTdxHS09Jg3eJnsaNQDtOzdYNJw4H4+++/UadOHXTs2FHsSERE+RqLbg0ikUgglUqRlJQEADh06BDi4uJw/fp1yGT/f17u/fv30a1bN0RHR8Pc3BxqtRp9+vRBvXr10KdPH7Rr1w6lS5fG1KlTszzreG4QBAE3btxAmTJlPnn/jBkz0KxZM1SoUAHXr19HWlpaxn0qleqLBbWNjQ0mTpyY45lzwvjx4zFz5kzMnDkTu3fvhre3NypUqJBr+5s5cybOX7gAv55KmHHitFxjqpRga3sl6njHY8aYrpjx9y6xI+VL6WlpeBn+FOHPghD+9AkiI57h9asovImNxptXUe9+jkFqakqO7lepLAQDo3dFuIEx9A2NYWxqgcJFHGFt64jCto6wtnWCgZFJju5X00RGPMORnT7QsS8NHZNPT4pJ2s3AoxlSn95BvwEDUKVKlUwTtBIRUc5i0S2ilJQUREREAABevXqFpUuXIj4+PqNXd82aNfDy8vpoeHKpUqXw008/YcOGDRg5ciQWLVqE27dv4+7duwDeLte1evVqeHl5oW3btp8dZh4fH49Hjx5lXH/y5Alu3LgBMzMzODg4AHg77D00NBTPnz8HADx48ADA29nW389O3rNnT9ja2mL27NkAgGnTpqFatWpwcXHBmzdvsHjxYty4cQN///33Rxnu3r2LrVu3Zqz/7erqCqlUijVr1sDa2hr3799H5cqVs/7kagBdXV1MmzYNbdq0QZ8+fVClShWMGzcOU6ZMyfERCGfPnsX06dMwpbYuajvy1zq31XKQY0pdXUw/7Y/DO73RrF0fsSNppfT0dESGP8Xzp0GIePYE4c+eIPzdzy/CnyL93Rdwenp6sHdwRGErKxQtYgUrj5KwtLSEhYUFTE1NYWJiknExNDSEXC6HRCL55EUqlUIiefulVGJiIl69eoXY2Fi8evUq4/Lh9djYWDx/dh9XzhzE69jYjOyGRiYobOsIqyKOsC7iiMJ2Tihi7wznEmWgLGQgxtOZo7av/QsCAAuv0WJHoVwikUhg2ngoXq4biU6du+D8ubOZRtUREVHO4TndeeBz53T7+vpmXDc0NISrqyvGjRuHdu3a4cWLF7Czs8OmTZvQoUOHj7Y5YsQI+Pn5YceOHfDw8MDq1avRtWvXTG0GDhyIc+fOfXaYuZ+fH+rXr//R7b169YKPjw8AwMfHB336fFxQTJ06Fb/99hsAoF69enBycsp4zKhRo7Br1y5ERETA2NgY5cuXx2+//Ybq1atn2oYgCKhVqxYmTJiQaX3yAwcOYNiwYUhJScHvv/+O/v37f7T/Tz2nmkylUmHOnDmYMWMGXFxc4O3tnaVz7r8kJiYGHmVLw0knGid76EHOYeV5Ik0toI53Iv6NABZt8UdhW0exI2m86JfhCLx3DQ/vXkPg3WsIun8LSUkJAN5+SeVU1BklS7jAxeXtpXjx4nBxcYGdnV2m0T5iefXqFR4/fozHjx8jKCjo3c9BePT4McKePYUgCJBIJLBzLA5n13Io7u6B4m7l4VTcHXoKpdjxv9nzp0H4sXMtKIpWglX7KWLHoVyW/CwALzePx6RfJ2L69OlixyEiypdYdOcBbSsQtYG2Pqe3b99Gnz59cP36dYwZMwbTpk2DUvn9H8YFQUD7dm1x6ugB3BiogIMxFyTISyGxapReHg+FiQ1W7P4308oDBV1SYgKC7t/Ew3vXEHj3Oh7du4aol2+XKLK1tUO1alVRtWpVeHh4wMXFBfb29hpRWH+vlJQUPHz4EFevXsXVq1dx+fIV3Lp1E6mpqZDJ5XB0dkUxNw8Ud/OAS6kKcHB21dj/L39NGYILpw7Aeogv5PpGYsehPBDrvwVvzm3EqVOnMuZUISKinMOiOw9oa4GoybT5OU1LS8P8+fMxdepUFC1aFGvXrkWNGjW+a1srVqzAkCFDsLOjEm3dOAGUGLbfVaHjjiTU8+yIEZM/PTt/QZCeno5H967j2oUTuH7xJIIe3IZarYZ+oUKoXKlyRpFdtWpVFClSROy4eSI1NRW3b9/GlStX3l2u4t69u0hPT4eJmSXKVakLj2r1Ua5yHZiYWYodFwAQ8jgAo7o3gL5bbVi2/EXsOJRHBHU6orZNgrEqBrdv3YS5ubnYkYiI8hUW3XlAmwtETZUfntOAgAD07dsXly5dwk8//YTff/8d+vr63/z4O3fuoHKliuhdGljenDNoi6nfviT43lBh/LwNqFizkdhx8syb2Ghcv+SHa/4ncPOyH97ExsDExBTNmjVF/fr1Ua1aNbi7u2t1D3ZOS0xMxKVLl3Ds2DEcPnwEN2/eAAAUdyuHclXqwaNqPZQsU0m0WdRn/9IL1y6eQpHhGyDV/fb3I9J+aW+i8NJ3BJr9UB97du/OmPuAiIiyj0V3HsgPBaKmyS/PaXp6OhYuXIhJkybBzs4Oa9asQZ06db76uKSkJFSuWB6IeYIr/fSg1OGHIzElpArw+F8CwhJ1sGr/begb5M8huWq1GkEPbuGa/9ve7Id3r0EQBJQvXwFeXp5o1qwZqlatyiI7CyIiInDs2DEcPXoUR48eQ3R0FPQLGaBMpdqoUL0hqtXzhKGxWZ5kCbx3HeP6NYNBuSYwb/pjnuyTNEviwwuI3D0Ty5cvx+DBg8WOQ0SUb7DozgP5pUDUJPntOX348CH69euHc+fOYfjw4Zg9ezYMDD4/A/LwYcOwZtUKXOmvRGkrFjia4Hp4OqqsToCDSxnM9zkudpwc9Sz4IfwO78DZYzsRGREGQyMjNGncGJ6enmjatClsbGzEjpgvqNVqXLt2DUeOHMGRI0dx4YI/pDIZyletj9pN2qJyrcbQU+Re7/NvIzri7s3LKPLjJkjlurm2H9JsMcf+Rsq9U7h+7V+4u7uLHYeIKF9g0Z0H8luBqAny43OqVquxdOlSjB8/HtbW1li9ejUaNGjwUbsTJ06gUaNGWNxUgR+r8oOxJllwIQWjj6Wgy4Bx6NB3lNhxsiU2JhLn/9mL00e241HATZiYmKJz507o3LkzatSoAR0dziGQ2168eIGtW7diw4aNuHLlMpT6hVC1rifqNGmHMhVrQZaDyzvdvX4Bk4e2gWHl1jBr8PGKEVRwqFUpiFz3E0o5WePiBX8uI0ZElANYdOeB/Fggii0/P6ePHz9Gv379cPr0aQwaNAhz586FkdHb4cpxcXEoU8oNReWRONFDD1Kec6dR1IKAZhuTcCo4HXN9T8KxmJvYkbIkJTkJV84dxZkjO3D94ilIpVJ4enqhZ88e8PLyyvH15enbBQYGYvPmzdiwYSMCAx/C1NwKNRq2RJ3GbVHcvXy2zr8VBAETB7XA44d3YTNiM6RSFlkFXUpYACI2/oI/5szBL79wQj0iouxi0Z0HnJycEBISInaMfMXR0RHBwcFix8g1arUaK1aswC+//AJzc3NcvXoVlpaWGDxoEDb4rsHtQUoUNdXM5YYKuhfxapRengCVrglW7b+tFb1Ejx/cwtFdvrhwch8S4uNQtWo19OzZA506deIsxhpGEAT8+++/2LhxIzZv3oIXLyLg4FwSnh36o27Tdt81/PzahZP4fXRXGNfsCpNaXXMhNWmjmJOrkXzzMG7dvAFXV1ex4xARaTUW3UQaLDg4GMuWLcPEiRNx+fJlNGnSBMs8FRhSmcPKNdnRR2loujERlWs1xoR568SO80lqtRr/nv8HB7aswO1r/rC3d0Dv3r3Qo0cPuLi4iB2PvkF6ejpOnjyJv/9ehn379sLQyASNWnZH0/Z9YGH1bcuyCYKAMb0a4dnTYNj8uFlj1w6nvKdWJSPSdyTKFLPDBf/znCCRiCgbWHQTaYG4uDiUdndFcd0oHO/OYeXaYMzRZCy4lIoRU/9G3SbtxI6TITkpAX6Ht+Pg1pUICw1CtWrVMWbMaLRu3VoreuXp04KCgrB06VKsXrMGiQkJqFbPC807DUSJ0hW/OPT8wqkDmDexP0wb9IdR5dZ5F5i0QvKzu3ixaTz+nD8fo0ePFjsOEZHWYtFNpAWGDxsG79X/w53BHFauLVLSBFRZnYgHryRYtusaTM2tRM0TExmBQzvW4viedUiIf4O27dph9KhRqF69uqi5KGfFxcXBx8cHixYtxuPHj+Di7gHPjgNQo0EL6OhkHiGTnp6OkV1q42V0NGx/3ChSYtJ0Mf+sRMqdY7hz+xZHwRARfScW3UQa7uzZs6hTpw4WNdXDiKqcyEqbPIhKh8f/EmBmUxRLt10QJUPIowDs2fg3zp/YC4VCgQH9+2PEiBFwcnISJQ/lDbVajcOHD2PhwkX455/jMLe0Ruvuw/FDq+7Q1VMAAPwOb8fi6T/CrNlIGJb9QeTEpKnUqcl46fsjKrg649zZMzwFgYjoO7DoJtJgSUlJ8ChbGhapz3Cmlx5kUg4r1zZrr6ei375kNO84AH1Hzciz/UaEhWDLqrk4e2wX7O0d8NNPI9GvX7+MmfCp4Lh79y7mzZuH9evXw9TcCm17jkA9z074qVtdvIpPhO0wzZx3gDRHcuhtvNg8AYsWLcKIESPEjkNEpHVYdBNpsAkTJuCv+XNxY6ASbpacxEYbCYKATjuSseu+CtOW7YF7uWq5ur9X0S+xfe1fOL5vAywtLPHbb1PRt29frqtNCAwMxIwZM7Bx40boKZRISkyAectfYOBWR+xopAViji9H6r2TuB9wjyNliIiyiEU3kYa6d+8eypUri6m15ZhUh8PKtVlssoAyy+PxKl0faw7cha5CkeP7SIh7jT0bl+HgtlXQ09PFxAkTMHz4cOjrZ30JKcrfHjx4gKFDh+LUqVPQMysCg1o9oF+yZrbW+qb8T52SiJfeQ9GkXk3s3bNH7DhERFqFRTeRBhIEAQ0b1MOzOxdxe5Ae9OT8MKztzoemobZ3Itw8quH35XtybLspyYk4tGMt9qxfirS0VPw0ciTGjh0LU1PTHNsH5U+3bt3CuPHjceTwYSiLlIBRnd5QOJYVOxZpsISAs4ja9wcOHjwIT09PseMQEWkNFt1EGmjr1q3o3LkzDnfTR9PiXMYpv5h+OgW/+aWg3+iZ8OzQL1vbUqvVOHlgC7aunovXr6IwcOBATJo0CTY2NjmUlgoKPz8//Dz2F/x79Qr0nSvCpH5/6FjYix2LNJAgCIjaNhmWkje4f+8uFLkwaoeIKD9i0U2kYeLj4+Faojgqm7zC7o78QJOfpKsF1PVJxJVwAYu2XEBhW8fv2k7I4wCsnDcOATcvo2vXrpg+fTqKFSuWw2mpIBEEAbt378aYsb8gNDQUhlU7wLhaB0jknAuAMlNFP0WE94+YOmUypkyZInYcIiKtwKKbSMOMGzcOixfMR8BQfTiZcGmW/Cb0tRqll8VD17gw/rfnepaW30lJTsT2tQuwd/NyFC9WHP/73wrUrVs3F9NSQZOcnIyZM2di9pw50DG1gfEPw6CwLy12LNIwr077IPn6AQTcuwtnZ2ex4xARaTx+oifSIPfv38eCv/7CxJo6LLjzKQdjKbxbKREd+QJLZnz70jvXLpzAqO71cHDbSvw2dSpu3rzBgptynEKhwIwZM3Dj+nWUKVoELzaNR/TRpVAnx4sdjTSIcfXOkCiNMGLkSLGjEBFpBX6qJ9IQgiBgxI/D4WAsxdiaumLHoVzUzl0H/Svo4OzRHbh6/tgX28ZERmD+pAH4fXQ3lHItgdu3b2PSpEnQ0+OM9pR7SpcujYsX/PH3339DeHQOL9YORcL9c+DgOAIAqa4ChvX64eCBA9i/f7/YcYiINB6HlxNpiJ07d6J9+/Y40EUJrxI8jzK/S0gVUP5/CXiWqIP/7b0JAyOTTPenp6fj2G5fbPrfbOgrlViw4C907dqVyzpRngsLC8PQYcOwb+9eFCpeBSY/DIHcyFLsWCQyQRAQtWMqzNNj8CDgHpRKpdiRiIg0Fnu6iTRAQkICRo38ES1K6rLgLiAK6UqwvYMSqtQUTBnePtN9L8NDMXVYW6z6cyK6dumMBw/uo1u3biy4SRS2trbYu2cPdu3aBYP4p3ixdhjeXN0HQZ0udjQSkUQigUnDQQgLC8O8efPEjkNEpNFYdBNpgDlz5uDlyxdY2ITDyguSctYyzP9BD8GBd7B1zXwIgoDTR3ZgTM+GiH8VgdOnT2PlypVcc5s0Qps2bfDgfgAG9O2F2JOrELnpF6hiI8SORSLSMbOFQYUWmPPHXLx48ULsOEREGovDy4lE9vz5cxQv5oyfKgmY1ZBLhBU0giDAc1MSTjxJR7nqjXD13HF0794dS5cuhbGxsdjxiD7J398fXbt1R9iLSJg2HQn9EtXFjkQiSU+Ox4tVA9CvZzcsX75c7DhERBqJRTeRyAYPGoTtG9ciaLgSxgoOHy6I9j1QodWWJCgUCnh7e6Nz585iRyL6qtevX6NX797Yu2cPDCu3hmnd3pDI5GLHIhG8ubwLr8/44t7duyhZsqTYcXKEk5MTQkJCxI5RIDg6OiI4OFjsGES5ikU3kYgePHiAUqXcMbehDkZX52zUBY1aEPCnfyomnkpFpYqVsMbbB+7u7mLHIvpmgiBg0aJF+HnsWOhau8CsxS+cZK0AEtJS8WLtEDStWx17du8WO06OkEgknK0/j/C5poKA53QTiejXiRNgayTD0Mo8l7ugiUpUo8XmFPzyTwrG/PwLzpw7z4KbtI5EIsFPP/2Ec2fPwlSIw8t1PyEp6F+xY1Eek8h1YVCzO/bu2YPz58+LHYeISOOwp5tIJJcuXUK1atXg21qBnuVYdBckZ0PS0GW3CikyA6zfuAlNmzYVOxJRtkVHR6Nb9+44evQojKp1hEmtrpBIZWLHojwiCGpErh+NMg4WuHjBX+tXW2Dva97hc00FAXu6iUQgCALG/fIzSlvrolsZLhFWkPzvairqr0tCsTJVcOPWbRbclG+Ym5vj0MGDmDVzJuIvbUfUtslIj38ldizKIxKJFIZ1euPypYvYnU+GmBMR5RT2dBOJ4PDhw/D09MSBLkquy11AqAUBE0+k4I/zqRg+bBgWLFwIuZyTTlH+dPr0aXTo2Amvk1Jh2nwsFA5lxY5EeSRy+1RYS17jfsA96Oho79839r7mHT7XVBCwp5soj6nVaoz/ZSxqO+nC04VFV0GQnCag264UzPVX4a+//sLiJUtYcFO+VrduXdy+dRPVK3rg5dbJiL91TOxIlEeM6/ZCUNBjrFq1SuwouaJ3796QSCQYPHjwR/cNHToUEokEvXv3/u72ABAREYEff/wRzs7O0NPTg729PVq0aIETJ058NteqVatQu3ZtmJqawtTUFI0aNcLly5cztTlz5gxatGiBIkWKQCKRYM+ePV89Xj8/P0gkko8u9+/fz2hz/PhxlChRAsbGxujVqxdSU1Mz7nv9+jVKlCiB0NDQr+6LKD9j0U2UxzZt2oRbd+7ijwZyrT/njb4uOlGNHzakYE8gsH37dowaNYqvOxUIhQsXxol/jmPggP6IPrwYr/23sjerANC1coaBe13M+H0mUlJSxI6TK+zt7bFlyxYkJSVl3JacnIzNmzfDwcEhW+2Dg4NRsWJFnDx5EnPnzsXt27dx5MgR1K9fH8OGDftsJj8/P3Tp0gWnTp3ChQsX4ODggMaNGyMsLCyjTUJCAsqVK4elS5dm+ZgfPHiA8PDwjIuLiwuAtx0J3bp1w+DBg+Hv74/Lly9n+sJl3LhxGDx48CefF6KChF0tRHlIpVJhyqSJaOOmi+r2/PXL7x7HqOG5JRUx6YVw8tRBVK9eXexIRHlKJpNh+fLlsLW1xZQpU5CeEAPThgM5wVo+Z1S9E56vGQpvb+9P9vBquwoVKiAoKAi7du1Ct27dAAC7du2Cvb09nJ2ds9X+fe/35cuXUahQoYzbS5Uqhb59+34208aNGzNdX7VqFXbs2IETJ06gZ8+eAIBmzZqhWbNm33XMVlZWMDEx+ej2qKgoREZGYujQoVAoFGjZsiXu3bsHADh//jyuXr2Kv//++7v2SZSfsKebKA9t3LgRT0KeYlpd7T3Pjb7NxWdpqO6dDMHIFhcuXWbBTQWWRCLB5MmTsXLlSiTcOIzo/XMhpKV+/YGktXTM7WHgWhu/z5yVaahxftKnTx94e3tnXF+7du0Xi+JvaR8TE4MjR45g2LBhmQru9z5V9H5OYmIiVCoVzMzMvvkxX1K+fHnY2NigYcOGOHXqVMbtlpaWsLGxwbFjx5CUlISzZ8+ibNmySE1NxZAhQ7BixQrIZPySjYhdbUR5JD09HbNnzkBLV12UKcw/QPnZ7gAVuu5OQcVKVbBn335YWFiIHYlIdAMGDICVlRU6duqMqB1TYd5mEqR6HxcWlD8YVu+EsLXDsG7dOvTv3z/X9xcREYF9+/Zlq8h3cnJC8+bNv6ltjx49MGHCBAQHB0MikeD8+fPYsmUL/Pz8vrv9o0ePIAgCXF1dv/sY3hs/fjxsbW3RqFGjbG3HxsYGK1euRMWKFZGSkoL169ejYcOG8PPzQ506dSCRSLBt2zaMGjUKI0eOhKenJ/r27YvZs2ejYcOGUCqVqFmzJqKiovDjjz9i+PDh2T42Im3Eopsoj+zcuRMPHwVhfX9+yMzPFl5MwehjKWjfrj3WrV8PhUIhdiQijdGqVSucPPEPPL2aI2rzBJi1mwq5obnYsSgX6Fo6opBrTUz/fSZ69eqVazOZ37hxAwsXLsTmzZuRlpaWrf24urp+c9FtYWEBLy8v+Pr6QhAEeHl5ffEL1m9p/37Og+zO+zF37lxs3rwZfn5+2f4bVLJkSZQsWTLjevXq1fH06VPMnz8fderUAQDUqlULV65cyWjz8OFDrF+/HtevX0edOnXw008/oWnTpihdujTq1KmDsmW5mgEVPBxeTpQHBEHArN+no1ExXVSxZS93fpSuFjDycDJGHU3Bzz+PxZatW1lwE31CzZo14X/+HExkKYja/AtU0c/EjkS5xKh6JzwNCf7ofOPsUqvV2LdvH+rXr4/y5cvj5MmT+P333xEVFYXk5OTvvty4cSNLOfr27QsfHx/4+vp+cWj5t7Z3cXGBRCJBQEBAlnJ8aP78+Zg1axaOHTuWa8VttWrVEBgY+Mn7BEHAwIED8eeff0KtVuP69eto3749rKysULduXZw+fTpXMhFpOhbdRHng4MGDuHn7Ln6txcEl+ZFaENB/fwqWXlVh2bJlmDt3LqRSvr0SfU6pUqVw6eIFOBU2Q+TmcUh5/kDsSJQLdK2cUahEdUyb8TvS0tKyvb34+HgsWbIEJUuWRKtWrZCcnIytW7ciKCgIY8eOhampaQ6k/nZNmzZFamoqUlNT0aRJk2y3NzMzQ5MmTfD3338jISHho/tjY2O/uP158+ZhxowZOHLkCCpVqvTNx5FV169fh42NzSfvW7NmDczNzdGyZUukp6cDeDuJ7Pt/399GVNCwAiDKZYIgYOaM6ajhoIu6juzlzm8EQcCPh1Lge1OF9evXZ8xMS0RfZm9vD//z5+DVvAWubP0V5m0mQenkIXYsymGG1Tsh2PcnbNmyBd27d/+ubYSGhmLJkiVYtWoV4uPj0b59e6xfvx7VqlXL4bRZI5PJMnqlv2WysG9pv2zZMtSoUQNVqlTB9OnTUbZsWaSlpeH48eNYvnz5Z3vB586di8mTJ2PTpk1wcnJCREQEAMDAwAAGBgYA3n5p8ejRo4zHPHnyBDdu3ICZmVnGkl4TJkxAWFgY1q1bBwBYuHAhnJycUKpUKaSmpmLDhg3YuXMndu7c+VGGly9f4vfff8f58+cBAKampnBzc8PChQvRuHFjnDhxAhMnTvzq80RZJwgC0tLS+KVGHpPJZJDLv20JYBbdRLns1KlTuHj5Cg51VXJ95nxGEASM+ycFy66mYtWqVSy4ibLIzMwMJ0/8g9Zt2uDknpmw6DAderZuYseiHKRnXRyFilfBtOkz0KVLlyzNZH3hwgUsWLAAu3btgqGhIQYNGoRhw4Zp1JrPRkZGOdq+aNGiuHbtGmbOnIkxY8YgPDwclpaWqFixIpYvX/7Zxy1btgypqalo3759ptunTp2K3377DQBw9epV1K9fP+O+0aNHAwB69eoFHx8fAEB4eDhCQ0Mz2qSmpuLnn39GWFgYlEolSpUqhYMHD8LT0/OjDCNHjsTPP/8MW1vbjNt8fHzQq1cvLF68GGPHjkWVKlW+ePyUdampqQgPD0diYqLYUQokfX192NjYQFdX94vtJML7WRuIKFc0rF8PsYEXcLWfHovufGaaXwp+O52CRYsWYcSIEWLHIdJaiYmJ+KFxE1y5dgMWnWdD16qo2JEoB6U8f4CI9WOwbds2dOjQ4YttVSoVdu3ahQULFuDSpUtwcXHByJEj0atXr4we27wgkUjAj8h5g8/191Or1QgMDIRMJoOlpSV0dXX5WTOPCIKA1NRUREZGIj09HS4uLl88tZBFN1EuunjxIqpXr44dHZRo5861ufOTeedT8Ms/KZg9ezbGjx8vdhwirff69WvUqVsP94NCYNF5DnTMbL/+INIakVsmwN1KicuXLn6yKHj16hVWrVqFJUuW4NmzZ2jQoAFGjRoFT09PUebIYCGYd/hcf7/k5GQ8efIEjo6O0NfXFztOgZSYmIiQkBAULVr0ixPocqYfolw0a+bvcLPSRRs3nsmRn/x9ORW//JOCSZMmseAmyiHGxsb45/gxONpYIXrHFKS9iRI7EuWgQpVa4+qVy/D39890+8OHDzFs2DDY2dlh8uTJaNSoEW7cuIETJ06gefPmnJSS6Bvw90Q83/rc8xUiyiWPHz/GgYOHMKaqFFIO9ck31l5PxfDDyRg9ejSmT58udhyifMXS0hInT/wDSwM9RO+YjPTE12JHohyiLFYZCgt7zJs/HwAQERGBFi1awNXVFdu3b8fYsWMRGhoKb29vlCtXTuS0REQ5i91vRLnk77//hpm+DF3LcFh5frH5tgr99ydj8KBBmD9/Ps+bIsoFdnZ2OHniH9SoWQvRO6bCotNMSPUKiR2LskkikUK/Ykvs27sMjx49wsuXL5GQkIA1a9agS5cuXxyWSURZFxoaiqiovBsxZGFhoVGTHGoantNNlAvi4+NhZ2uDwWVSMacRP0jkB3vuq9B+ezK6desObx8fDuUiymW3bt1Crdp1kG5iD/P2v0Gqw/dSbadWpeDF//piUN+eWLx4sdhxvojnGecdPtff7/053f89nzg0NBQlXd2QnJR3M5orlPp4cD/gmwvv3r17w9fXF4MGDcKKFSsy3Td06FAsX748Y2b9rLR9LyIiAjNnzsTBgwcRFhYGKysreHh44KeffkLDhg2zfbzvfe41+C/2dBPlgvXr1yMuLgFDKrF3Jj849jgNnXamoG3btlizdi0LbqI8ULZsWRw7egQNGjZC9N45sGjzKyQyjhzSZlIdPSjKNsEab2/8/vvvWV5uKy85OjpyNFMecXR0FDtCvhMVFYXkpESYNx8DHXP7XN+fKvopog/8iaioqCz1dtvb22PLli1YsGABlEolgLdF7ObNmz/aTlbaBgcHo2bNmjAxMcHcuXNRtmxZqFQqHD16FMOGDcP9+/ezecRZx6KbKIcJgoClixeilasOHE1YnGm7h9Hp6LAjBY1+aIwNGzdBLufbJlFeqVatGvbt3QNPTy/EHFwAsxY/QyLh+6o2M/TwxPNLO+Hj46PRSy0GBweLHYEo23TM7aFnXVzsGJ9VoUIFBAUFYdeuXejWrRsAYNeuXbC3t4ezs/N3tx06dCgkEgkuX76MQoX+vwOsVKlS6Nu3by4f1afxLxdRDjt58iTu3X+IHyuzONN2cSkCWm9TwcbeCZu3bIWurq7YkYgKnEaNGmHLls2IDziD1xe2iR2HskluZAH9kjWxYNFiqNVqseMQkcj69OkDb2/vjOtr1679bGH8LW1jYmJw5MgRDBs2LFPB/Z6JiUnOBM8iFt1EOWzJ4kUoba2Lek4ysaNQNqgFAb32puBZohx79h3Q6GGQRPld27ZtMXXqVLw+txFJj6+KHYeyyaBCCwQHPcbhw4fFjkJEIuvRowfOnTuH4OBghISE4Pz58+jevft3t3306BEEQYCrq2texP9m7IojykHBwcHYf+AAljXT47lgWm722VTsDkjF3r3bNe6Nm6ggmjJlCq5cvYrjB+dD3mMBdExtxI5E30nP1hVKm+JYvmIFvLy8xI5DRCKysLCAl5cXfH19IQgCvLy8YGFh8d1t30/Kp2mfw9nTTZSDli1bBiOFDN3LcrIfbXbwoQqT/VIwdepUtGzZUuw4RARAKpVi44YNsLUpjFd7Z0Odmix2JPpOEokEyjKNcfjQIYSFhYkdh4hE1rdvX/j4+MDX1/er51x/ra2LiwskEgkCAgJyK+53YdFNlEMSExOxeuX/0LesFIV0NevbNfp2gdHp6LZHheZeXpgyZYrYcYjoAyYmJti/dw+ENxF4dXQplxnSYoXc60Ii14Gvr6/YUYhIZE2bNkVqaipSU1PRpEmTbLU1MzNDkyZN8PfffyMhIeGj+2NjY3Mqdpaw6CbKIbt27cKr128wtDIn29JWcSkCWm9XwdrOEes3bOTSYEQaqHTp0vDxXov4e36Iu7pP7Dj0naR6haAoUQv/W7WaE6oRFXAymQwBAQEICAiATPblOZG+pe2yZcuQnp6OKlWqYOfOnQgMDERAQAAWL16M6tWr58YhfBXP6SbKIT5r16COky6KmbFQ00aCIKD33hQ8TZDjst8BGBsbix2JiD6jU6dOuHLlCv5asBC6hZ2hcCgjdiT6DgblGiN04zj4+fmhQYMGYschyndU0U+1Zj9ZmbD2a22LFi2Ka9euYebMmRgzZgzCw8NhaWmJihUrYvny5dmN+l0kAsdmEWVbaGgonJycsKaFHvqUZ0+3Npp1NgW/nkzBnj170KpVK7HjENFXpKWloeEPP+Di1Zuw7LEAcqNPT7xDmksQBLxcOxStG9XC5s2bxI5DpHWSk5Px5MkTFC1aFAqFIuP20NBQlHR1Q3JSYp5lUSj18eB+ABwcHPJsn5rgc6/Bf7GnmygHrF+/HkodKdq7cwI1bXQ4UIVJp1IwZcoUFtxEWkIul2PHtm3wKF8BMftmw7LzHEjkfA/WJhKJBIrSP2Dnzg2Ijo6Gubm52JGI8gUHBwc8uB+AqKioPNunhYVFgSu4s4I93UTZJAgCShR3Rg3DMPi2Voodh7Lo6Ws1yq5MRq36jbF3336ex02kZa5evYoaNWtBUaoBzBoPEzsOZVF6QizClvfCwr/+wogRI8SOQ6RVvrWXlXLPt74G/HRJlE3+/v54FBSMXuXYw6JtBEFAv/2pKGRsjnXrN7DgJtJClSpVwuJFCxF3/TCSnlwTOw5lkayQCfSLV8OK/63kbPRElG/xEyZRNvn4+MDBVAf1nL482yJpnuVXVTj+OBVrfdbB1NRU7DhE9J0GDRqE+vUb4PWxpVCn5N05jJQzCpVtjIB7d3HlyhWxoxAR5QoW3UTZkJiYiG1bN6NXGQmkEq7NrU0exagx9h8VhgwejMaNG4sdh4iyQSKRYO3aNZCmJuCV31qx41AWKZw8oGdkgY0bN4odhYgoV7DoJsqGPXv24E1cAnqV44zl2iRdLaD3vlRYF7HF3HnzxI5DRDnAyckJ8+fNRfyNI0gKviF2HMoCiVQGXZca2LxlK9LT08WOQ0SU41h0E2WDz9o1qM21ubXOXxdS4R+qgu/6jTAwMBA7DhHlkMGDB6N2nbpvh5mnJokdh7KgkFsdRL58gbNnz4odhYgox7FSIPpOz58/xz8nT6FXGf4aaZOH0emYfFqFMWPGoFatWmLHIaIcJJVK4b12DSTJbxB72kfsOJQFukVKQs+0MLZs2SJ2FCKiHMdqgeg77d69GzIp0NaNs5ZrC7UgYOBBFezs7DF9+nSx4xBRLihWrBj+mDMbcdcOIjn0tthx6BtJJBLolaiFbdt3QKVSiR2HiChHycUOQKStdm7fhoZFdWCq5ARq2mLNNRVOP0nFiRNroVRyTXWi/Gr48OHYum07/j26GFa9lkCqy/VrtUEhtzoIv7QTJ0+eRJMmTcSOQ6TVQkNDERUVlWf7s7CwgIODQ57tT9uw6Cb6DpGRkTh99hyWe3ICNW0RHqfG2BNp6NO7Nxo0aCB2HCLKRVKpFD7ea1G6TFnEnlkHs0YDxY5E30DHyhkKc1ts2bKFRTdRNoSGhsLNzQ2JiXm3hKK+vj4CAgK+ufDu3bs3fH19MWjQIKxYsSLTfUOHDsXy5cvRq1cv+Pj44OXLl5g8eTIOHz6MFy9ewNTUFOXKlcNvv/2G6tWrA3g7mWZISEim7dja2qJ///6YNm3aF7M8efIETk5O336w34FFN9F32Lt3LyAIaO3KXyFt8eORVOgVMsb8P/8UOwoR5QEXFxfMnjUTY37+GfquNaGwKyV2JPoKiUQCvZK1sWPnLqxYsQJ6enpiRyLSSlFRUUhMTMTI3/6GnZNLru/vWXAgFv02DFFRUVnq7ba3t8eWLVuwYMGCjBGIycnJ2Lx5c6bttGvXDiqVCr6+vnB2dsaLFy9w4sQJxMTEZNre9OnTMWDAgIzrMpkMSqUSgwcPzritcuXKGDhwYKZ2lpaWWT7mrGLFQPQddu7YjtpOOrAqxGkRtMG+ByrsvJeKLVv+hpmZmdhxiCiPjBw5Elu3bcet48ug12sxJFKZ2JHoK/RdayPcfwuOHj2Kli1bih2HSKvZObmgWMmyYsf4rAoVKiAoKAi7du1Ct27dAAC7du2Cvb09nJ2dAQCxsbE4d+4c/Pz8ULduXQCAo6MjqlSp8tH2DA0NYW1t/dHtH65UI5PJPtsuN7FiIMqi2NhYnDh5Eu1K8tdHG6SpBYw9kY4fGjVEx44dxY5DRHlIJpPh76VLkPwyBPG3T4gdh76BrqUjlIWdsGXLVrGjEFEe6NOnD7y9vTOur127Fn379s24bmBgAAMDA+zZswcpKSliRMwRrBqIsujAgQNQqdLQxo0DRbTB2usqPIxMxdx58yGRcNI7ooKmUqVK6NSpM+L9N0Gdmix2HPoGusVrYP+BA5zFnKgA6NGjB86dO4fg4GCEhITg/Pnz6N69e8b9crkcPj4+8PX1hYmJCWrWrImJEyfi1q1bH21r3LhxGUW6gYEBFi9enJeH8kUsuomyaOeO7ahqrws7I/76aLpElYDfzqSja5cu8PDwEDsOEYlk1qyZUCe+RtzVvWJHoW+gLFYZ8XFvcP78ebGjEFEus7CwgJeXF3x9feHt7Q0vLy9YWFhkatOuXTs8f/4c+/btQ5MmTeDn54cKFSrAx8cnU7uxY8fixo0bGZeePXvm4ZF8GasGoiyIj4/HkSNH0K4ke0y1waKLqYhKFDDj99/FjkJEInJ2dsbw4cMQf2Un0hNfix2HvkLXuhh0Dc1w8OBBsaMQUR7o27dvRm/2h0PLP6RQKPDDDz9gypQp8Pf3R+/evTF16tRMbSwsLFC8ePGMi4mJSR6k/zYsuomy4PDhw0hOSUU7dx2xo9BXRCeqMedCGoYMHZoxGQcRFVyTJk2CQleO1/5bxI5CXyGRSKFbtBL27NsvdhQiygNNmzZFamoqUlNTv3m5QHd3dyQkJORyspzDopsoC/bv34+yNrpwNuWvjqabfS4Vaqkufv31V7GjEJEGMDc3x6SJE5Fw4xBUr56LHYe+QlmsEh49fIDHjx+LHYWIcplMJkNAQAACAgIgk2VeZSI6OhoNGjTAhg0bcOvWLTx58gTbt2/H3Llz0apVK5ESZx1ngiL6Rmq1GseOHEKv3F/ukLIpJFaNJVfS8OvkX2FlZSV2HCLSECNGjMCixUvw+sw6WLQaL3Yc+gKFowekch0cPHgQI0aMEDsOkVZ6FhyoNfsxMjL65O0GBgaoWrUqFixYgMePH0OlUsHe3h4DBgzAxIkTs73fvCIRBEEQOwSRNrh58yY8PDxwoqc+GhTl91WarPeeJBwOM8TjJyGZ1mYkIvLx8UGfPn1g3eNP6BUpKXYc+oLI7VNQvagZ/vnnuNhRiDRScnIynjx5gqJFi0KhUGTcHhoaCjc3NyQmJuZZFn19fQQEBMDBwSHP9qkJPvca/BcrB6JvdOzYMSh1pahpL/t6YxLN7RfpWHdLhSVLprPgJqKP9OjRA/Pm/4ng096w6DybSwlqMD3nyjhz2htxcXEwNDQUOw6R1nBwcEBAQACioqLybJ8WFhYFruDOChbdRN/o2JHDqOcoh56cH9A02cSTKjg7OWLAgAFiRyEiDSSTyfDn/Hlo1qwZkh5dhr5LVbEj0Wcoi1XGq3/+h3/++Qdt2rQROw6RVnFwcGARrEE4GxTRN0hMTMTZc+fQ2JkFtyY7G5KGAw9T8fusOdDV1RU7DhFpqCZNmqB+/QaIO7cePMtOc+mYWENp6YADBw6IHYWIKFtYdBN9gzNnziAlVYUmxTg4RJNNPJWGCh7l0LFjR7GjEJEGk0gkmDp1CpJfBiM56F+x49AXyB3L48jR4/xyhIi0Gotuom9w7Ngx2JnowtWCvzKa6urzdJwLScXkqb9BKuXrRERfVqdOHVSoWAnxV3aJHYW+QOFYFs/DniI4OFjsKERE342fTIm+wbEjh9DYSeCEOxpsyeVUONrbokWLFmJHISItIJFIMH7cL0gMuYWU8LxZVoeyTmFXCpBI4OfnJ3YUIqLvxqKb6CuePXuGuwEP0JhDyzXWywQ1ttxNx7AfR0Im4+zyRPRt2rZtCwenoohjb7fGkioMoLQuxqKbiLQai26irzh+/DgkEqCRM4s5TbXqXxVkch3069dP7ChEpEVkMhl++XkMEu+fhyo2Quw49Blyu9L458QpntdNRFqLRTfRV5w6dQrli+jCXJ+/LppIlS5g2TU1unXrDjMzM7HjEJGW6dOnD4xNTBB3dZ/YUegzFA5leF43EWk1jpcl+opzZ06hpZ3YKehzdt9Pw/PXKvw4YoTYUYhIC+nr62PQwAH4c9FSqOv0gFRXKXYk+o8Pz+suWrSo2HGItEJoaCiioqLybH8WFhZcF/wLWHQTfcHz58/xJOQZalXhhzBNteRKOurUqomyZcuKHYWItNSQIUMwb948JNw9BcPynmLHof/48LzuPn36iB2HSOOFhobCzbUkEpOS82yf+koFAu4/+ObCu3fv3vD19c24bmZmhsqVK2Pu3LkffaYbOHAg1qxZg40bN6Jz586Z7uvUqROCg4Ph7++fMa+PSqVC1apV4e7ujg0bNmTzyHIGi26iLzh//jwAoKY9z+fWRDci3i4Ttn3+T2JHISIt5ujoiBYtW+Ko/yEYeDTjShUa6MPzuvn6EH1ZVFQUEpOSsaGNEm6WuX96ZECkGt13JyEqKipLvd1NmzaFt7c3ACAiIgKTJk1C8+bNERoamtEmMTERW7duxdixY7FmzZqPiu5ly5ahVKlSmDNnDn799VcAwIwZMxAREYETJ07kwNHlDBbdRF9w9uxZOJvrwMaQ53NroiWXUmFXxBqtW7cWOwoRabkRP/6IvXsaIiX0NhSOHDmjaRQOZfD8yh4EBwdziDnRN3KzlKKCjeZ2HOnp6cHa2hoAYG1tjXHjxqFOnTqIjIyEpaUlAGD79u1wd3fHhAkTYGNjg+DgYDg5OWVsw9zcHCtXrkSHDh3QokULqFQqzJ49G3v37oWpqakYh/VJrCSIvmDf3t0IjU2D9Z/xaLw+AQsvpuBlvFrsWAQgKlGNjXfTMXT4CMjl/P6QiLKnfv36KOnqhvhr+8WOQp+gZ1cKAHDu3DmRkxBRboiPj8fGjRtRvHhxmJubZ9y+Zs0adO/eHcbGxvD09MzoGf9Qy5Yt0blzZ/Ts2RM9e/ZEr1694OmpWacKsegm+ozExEQ8C3uOJpWcUaaEA/yfSzHqaAqs/4yH0R8JKLc8Hj8eSsL50DSo1SzE89rqaypAIsOAAQPEjkJE+YBEIsHwYUOR+Pgy0hNfix2H/kOmMIDSwg5XrlwROwoR5ZADBw7AwMAABgYGMDQ0xL59+7B161ZIpW9L1MDAQFy8eBGdOnUCAHTv3h3e3t6f/Ny9aNEiPHz4ENHR0fjrr7/y9Di+BYtuos/4999/kZ6uxsw+dXD8j854vWcUbq3sixU/NUXb2m6Ikxpi6RUVanknQn92IuwXxKH1lgSsuZaC+FQW4bkpTS1g2b9qdOnaDRYWFmLHIaJ8omPHjpAIAhIfXhA7Cn2CxKoYLl66LHYMIsoh9evXx40bN3Djxg1cunQJjRs3RrNmzRASEgLgbS93kyZNMj7reXp6IiEhAf/8889H29q0aRMkEgmioqJw//79PD2Ob8ExmUSfcenSJRRS6qGU09tzSmQyKcoUtUKZolYY6OUBAIiMTcSFe2HwvxeGs3ee4fCDcOx9kIKBB1JhpJDAxRRoWFSObmXkKF2Yv2455XRwOp7GqjB48GCxoxBRPmJlZYX69RvgwoOzMPRoKnYc+g89axfcPL8BKpUKOjo6YschomwqVKgQihcvnnG9YsWKMDY2xqpVqzBt2jSsW7cOERERmU4jTE9Px5o1a9C4ceOM24KCgvDLL79g6dKlOH/+PHr37o3r169DT08vT4/nS1gFEH3GxYsXULmkNeSyzw8IsTTRR8saLmhZwwUAkKpKx82gl/C/+wzn74bhzO2nmHM+AXPOp0KpK4ONvhpV7WRo66aDliVk0JVzsMn32BmggqO9LapUqSJ2FCLKZ7p06YwTAwYgLT4GcgMzsePQB3RtXPAqJRl3796Fh4eH2HGIKIdJJBJIpVIkJSXh0KFDiIuLw/Xr1zOWAgOA+/fvo1u3boiOjoa5uTnUajX69OmDevXqoU+fPmjXrh1Kly6NqVOnYs6cOSIeTWYsuok+4+KFC+he2zFLj9HVkaFySRtULmmDkW0rAwCevnwD/3th8L/7DGfvPMPWey+x+U4aZFIJTBQSlLIAGhfTQfeyOnA0YRH+NWpBwO6HQJd+HblsDBHluDZt2mDw4CFIfHAeRhVbiB2HPqBrVQwSiRRXrlxh0U2UD6SkpCAiIgIA8OrVKyxduhTx8fFo0aIFFi5cCC8vL5QrVy7TY0qVKoWffvoJGzZswMiRI7Fo0SLcvn0bd+/eBQAYGRlh9erV8PLyQtu2bTWmg4ZFN9EnREZGIux5OCqVqJrtbdlbGaGTlRE61XMDACQmq3D1YTj874Xh3J1nOHfnGc6EpmDSqRQU0pPB3lBALXsZOpaSo2FRWcZkEvSW/9N0RLxRoV27dmJHIaJ8yMzMDD80/gGnb58FWHRrFKmuAgorB1y9epWTaBJ9g4DIvJlj6Hv3c+TIEdjY2AAADA0N4erqiu3bt8PNzQ0HDx7Epk2bPnqMRCJB27ZtsWbNGjRr1gy//vorVq9enbEdAGjcuDH69OmjUcPMJYIgCGKHINI0J06cQKNGjfDAeyBK2OXu8EJBEBAY9gr+d5/B/97bIekPn8ZAAKAjk8JcKaBcYSm8XOToUkYHFvoFuwgfdSQZW54YISz8Bb+QIKJcsWHDBvTo0QO2Q7whN7IUOw59IOrQQjhLo3DrxnWxoxCJLjk5GU+ePEHRokWhUCgybg8NDYWba0kkJiXnWRZ9pQIB9x/AwcEhz/apCT73GvwXe7qJPuHmzZvQV+iimI1Jru9LIpGghJ0ZStiZoXeTsgCA2PhkXAp4ntEbfiYgDEcfp2Dk0RQY6knhbALUc5Shc2kdVLUrOL/GgiBg10MBbTp3YMFNRLmmZcuW0NVTIPH+WRhVaSt2HPqAnrUL7p3yQ3Jy8hc/4BIVZA4ODgi4/wBRUVF5tk8LC4sCV3BnRcH5tE6UBbdu3ULpolaQfWEStdxkYqBAk8rOaFLZGQCQnq7GneDId+eGv+0NX3jpDRZeUkFPRworpYBKRaRoVVIHHdzl0NfNnwXpv+FqhL7i0HIiyl1GRkbw8myGI5fOsejWMLo2LkhPS8PNmzdRtWr2TwEjyq8cHBxYBGsQFt1En3DzxjVUcjIXO0YGmUyKcsUKo1yxwhjSogIA4MWrhP9fruz2MxwIDMfu+8nou18CYz0JSpoBDZzl6F5GB26Wsq/sQTvsvKeCmYkx6tatK3YUIsrnunTpgt27O0L1Khw6pjZffwDlCV3LopDK5Pj3339ZdBOR1mDRTfQfKpUK9wLuo1+temJH+aLCpoXQumYJtK5ZAgCQkpqG649ewP9eGM7ffYazt5/h4tlEzDr7drmyIoXUqGYnQzs3HbQoKYNcy4ZnC4KAnQ+BVm3aZlqvkYgoN3h5eUGpr4/E+2dhXL2j2HHoHYlcB3rmtrh3757YUYiIvhk/uRL9x4MHD5CaqkJZZ+2aPEdPV45q7rao5m6L0e2rQBAEhL58A/+7YfC/9wxnbj/D5ruR2Hg7DXKZBKYKCUpZSNCkuBzdy+rAzkizi/C7kWoERqZiAYeWE1Ee0NfXR6uWrbD31FmARbdGkZja4u5dFt1EpD1YdBP9x61btwAAZZ2tRE6SPRKJBI6FjeFY2BhdGrgDAOKTUnHlQXhGIX7uzjP4haRgwokUGOjJ4GAooLaDDB1L66Ceo1SjJivbeS8NRoaF0KhRI7GjEFEB0b59O2zZshlpb15CbqTdfxPyEx1zB9y5d0rsGERE34xFN9F/3Lx5Ew6FTWFikP9mRTVQ6qK+hyPqezgCANRqAQ+fxcD/3rOMCdr+d+0V/ndNBR25FBZKAR6FpWheQo7OpXRgJuJyZTsfCGjevKVGrLVIRAVDvXr1AADJoXdgULqBuGEog465PaL8X+DVq1cwNTUVOw4R0Vex6Cb6j1s3b6Kcs4XYMfKEVCqBq4M5XB3M0bdpOQBAzJskXHy3XNn5u8/gF/Achx+lYPjhFBjpyVDMREC9onJ0LS1HxSJ58xbyKEaN2xGp+K19+zzZHxERAJibm8O9VBmEhN5m0a1BdCzsAQABAQGoUaOGyGmIiL6ORTfRf9y7dwdda9qLHUM0ZkZKeFYtBs+qxQAAaelq3H7yEv53w3D+bhjO3n6Kvy7E4a8LqVDoSGGlL6ByERlal5SjrVvuLFd2/HEa5HIZGjdunOPbJiL6kkYN62Plhu1ix6APyE1tIZFIWXQTkdZg0U30gZSUFDx99hzFi5QVO4rGkMukKF/cGuWLW2NYq4oAgOdRcbgQEIYL957j7O2n2PvwBXYGJKP3PgmMFRK4mgGNnN9O0OZinv3lys6EpqNieQ8YGBhke1tERFlRr149LF68mOd1axCpjh4UZtacwZzoC0JDQxEVFZVn+7OwsOC64F/AopvoA0+ePIEgCChehOeIfUkRC0O0q+2KdrVdAQDJqWm4Fhjxbkj6295w/zNJmH4mFfq6MtgaqFHdToZ27jrwdMnacmWCIODsMwm6DuDQTiLKe3Xq1AHA87o1jcTUDndZdBN9UmhoKNzcXJGYmJRn+9TXVyIg4P43F969e/eGr68vZs+ejfHjx2fcvmfPHrRp0waCIMDPzw/169fHq1evYGJikkvJ8waLbqIPPHr0CABQrIiJuEG0jEJXjhql7FCjlB1+7vC2UH4S8Rr+d5/hwr3nOHP7KTbcjsS6W2+XKzNTSFDaSoJmxeXoVkYHNoafL8KfxAoIi03N+OBLRJSXzM3N4eZeGqE8r1ujyM3tcefOFbFjEGmkqKgoJCYmYcP4FnBzMM/1/QWERqP7nP2IiorKUm+3QqHAH3/8gUGDBuX7SRFZdBN94PHjx1Do6aCIuaHYUbSaRCKBs40JnG1M0L1RaQBAXGIKLt8Ph/+9MJy7+wz+d5/h5JMUjD3+drkyJyMBtR1l6FxKB7Uc/n+5sjMhaZBIJKhZs6aYh0REBVijhvWxauMOsWPQB3TMHRB2aScSEhJQqFAhseMQaSQ3B3NUcLEWO8ZnNWrUCI8ePcLs2bMxd+5csePkKhbdRB94/PgxnG1MIZVKxI6S7xjq66FhBSc0rOAE4O1yZQGhUbhw7zn87z3DmdtPsfxqLJZfVUH33XJlFayliE4CypRyy/ffgBKR5qpXrx6WLFnC87o1iNz0bSERHByMUqVKiZyGiL6HTCbDrFmz0LVrV4wYMQJ2dnZiR8o1LLqJPvAoMBDFbIzFjlEgSKUSlHKyRCknS/T3fLtcWdTrxLfLld0Nw7k7z3D8wXOkqNLRskJxkdMSUUHG87o1z/svP0JDQ1l0E2mxNm3awMPDA1OnTsWaNWvEjpNrWHQTfeDx40B4lTUTO0aBZWGsj+bViqN5tbdF9otXCbDuuAQdO3YUORkRFWQWFhY8r1vDyAzMIJHKEBISInYUIsqmP/74Aw0aNMCYMWPEjpJrcn5BXSItlZ6ejifBoShmYyJ2FHrn+qMXAICqVauKnISICrpGDesjPeyO2DHoHYlUBj1jS4SGhoodhYiyqU6dOmjSpAkmTpwodpRcw6Kb6J2nT59CpVKhGJcL0xiX7z+HmakJihUrJnYUIirg6tSpg+SYcKTHvxI7Cr0jNbRgTzdRPjFnzhzs378f/v7+YkfJFSy6id4JCgoCAPZ0a5DLDyJQpUpVSCSc2I6IxFW69NuVGFTRT0VOQu9JDC3xJJhFN1F+UKZMGXTr1g1LliwRO0qu4DndRO+EhYUBAOwsuVyYJhAEAZcfRmDIj13FjkJEhGLFikGuowNVdCgUjmXFjkMAZEaWeBKcP3vFiHJCQGi0Vu1nxowZ2LZtW45sS9Ow6CZ6JyIiAsYGSij1dMSOQgBCX75B5Kt4VK5cWewoRETQ0dFBUefiiGBPt8aQG1nhZcRzpKWlQS7nR1qi9ywsLKCvr0T3OfvzbJ/6+kpYWFh8c3sfH5+PbnN0dERycnLG9Xr16kEQhJyIJzq+QxG9ExERAWszA7Fj0Dv3331ryqVgiEhTlCtTCmFXAsWOQe/IjSyhVqsRFhYGR0dHseMQaQwHBwcEBNxHVFRUnu3TwsICDg4OebY/bcOim+id8PBwWJvqix2D3nkcHgsdHR3Y29uLHYWICADg5uaG/cdOih2D3vlwrW4W3USZOTg4sAjWIJxIjeidiPBw2LDo1hiPn7+Ck6M9hwwSkcZwd3dHypsYpCfHix2FAMgMzQEAz549EzkJEdGXsegmeici4jmszQqJHYPeefQ8FsWKuYgdg4gog5ubGwBAFcXzujWBRFcJqVwH0dF5M1kUEdH3YtFN9E54eASsTXlOt6Z4HPEGxV1YdBOR5ihRogSkUilU0aFiRyEAEokEOvpGLLqJSOOx6CYCkJycjNjXb2Bjzp5uTaBWCwh6/grFihUTOwoRUQalUgk7Byeu1a1BZPpGeTpZFBHR92DRTYS3M5cDYE+3hgiPiUdSSiqKFy8udhQiokzKlnZHOotuzaFg0U1Emo9FNxE+KLp5TrdGePz8FQCwp5uINI67uzvUrzhxl8bQM0Aki24i0nAsuomAjG/JLY05e7kmePw8FhKJBEWLFhU7ChFRJm5ubkh+9QLq1GSxoxAAqdIIL16y6CYizca1eIgAvHnzBgBgpK8rchICgEfPX8HO1gYKhULsKEREmdjb2wMA0hNjIdW1FjkNSZVGiA69I3YMIo0TGhqap6deWFhYcF3wL2DRTQQgLi4OUqkE+godsaMQgMfhsShWjOdzE5HmMTd/uza0OvE1YMKiW2wypRFexXD2cqIPhYaGoqRrSSQn5d2IHIVSgQf3H3xz4d27d2/ExsZiz5496N27N3x9fQEAcrkc9vb2aNu2LaZNm4ZChQohODgYRYsWhUwmQ0hICGxtbTO2Ex4eDnt7e6Snp+PJkydwcnLKjcPLNhbdRHjb022or4BEIhE7CgF4FP4aHrVqiB2DiOgjFhYWAAB1UpzISQgApPpGSE5KRFJSEpRKpdhxiDRCVFQUkpOSYTfQDnpF9HJ9fynPU/Bs5TNERUV9d29306ZN4e3tDZVKhbNnz6J///5ISEjA8uXLM9oUKVIE69atw4QJEzJu8/X1ha2tLUJDNXspRxbdRHjb022on/tvSvRtnr6MQytHR7FjEBF95H1Pd3rSG5GTEADIFIYAgOjoaNjZ2Ymchkiz6BXRg9JJO76M0tPTg7X129FDXbt2xalTp7Bnz55MRXevXr3g7e2dqej28fFBr169MGPGjDzPnBWcSI0Ib4tuIxbdGuNNYjJMTEzEjkFE9BGlUgmFUp893RpCovt27o/ExESRkxBRTlIqlVCpVJlua9myJV69eoVz584BAM6dO4eYmBi0aNFCjIhZwqKbCO+Glyt5PrcmUKWlIzlFBUNDQ7GjEBF9kqmZOXu6NYRE/nYC1KSkJJGTEFFOuXz5MjZt2oSGDRtmul1HRwfdu3fH2rVrAQBr165F9+7doaOj+Z/hObycCO97ujX/F7YgiEtMBQAYGRmJnISI6NMsLCwQx6JbI7DoJsofDhw4AAMDA6SlpUGlUqFVq1ZYsmTJR+369euH6tWrY9asWdi+fTsuXLiAtLQ0ERJnDXu6iQDEsadbY8QlvS262dNNRJrKytIcahbdGkEif3tqGItuIu1Wv3593LhxAw8ePEBycjJ27doFKyurj9qVLl0arq6u6NKlC9zc3FC6dGkR0mYdi24iAG/evIahkmt0a4I3iSkAWHQTkeaysrQEknlOtyaQyN9+Yc6im0i7FSpUCMWLF4ejo+NXh4v37dsXfn5+6Nu3bx6lyz4OLycCEB8fB0MrTqSmCTi8nIg0nbm5OZDColsTvO/pTk7Ou/WIiUhcAwYMQIcOHbRq0l0W3UQAUlNToSvXFzsGAXiTyOHlRKTZLCwskJ7I4eWagOd0E31eyvMUjd2PWq2GXP59pahcLoeFhcV3PVYsLLqJ8PYXXybj2RaaII5FNxFpOAsLC6gS30AQBEgkErHjFGgsuok+ZmFhAYVSgWcrn+XZPhVKRZYK4ZcvX6J48eIA3q61/SVOTk4QBOGz93t4eHzxfk3AopsIQHp6OqT84KQR4pJ4TjcRaTZjY2Oo01RAugqQcz4QMUkkEsh09Fh0E33AwcEBD+4/QFRUVJ7t08LCAg4ODl9t9+rVK/j7+8PPzw+DBw/Og2SagUU3Ed71dEtZdGuCN4mp0NdXQiaTiR2FiOiTMnpU+GWtRpDKdXlON9F/ODg4fFMRnNf69u2LK1euYMyYMWjVqpXYcfIMi24ivOvpZtGtEeISU2FoYCB2DCKiz1Kr1W9/kPC0JE0gkcuhUqnEjkFE32D37t1iRxAF/1oQgcPLNUlcUioMDVl0E5Hm+v+im383NIIgQCrlR1oi0lx8hyICh5drErVagEzKoeVEpLkyim7w74ZGENQsuolIo/Ediuj/2LvvsKbO94/j74SwpwoooiwV9xate+9VrVvr3hNrtWqddW9rHVXrrKNq3XvvvXArLsABKktQViD5/WHLr35dqMAJcL+uK1drknOeT4KGc+dZQEKCToaXGwgzEw0xsTI3TwhhuP4tumXlcsOg10lPtxDCsMknlBD829Mt/xwMgZmJEdHRUnQLIQyXTqdDJfO5DYZeerqFEAZOPqGEQOZ0GxJzE42sQiuEMGg6nQ5kdJThkDndQggDJ59QQvxDj17pCIJ/h5fHKh1DCCE+SHq6DYv0dAshDJ1sGSYEYGZmRqw2QekYgjdFd1ycloSEBNmrWwhhkKToNjDS0y3EOwICAggODk619uzt7Q1yX3BDIUW3EIC5uRkxcfFKxxCAuembj6XY2FgsLCwUTiOEEO/S6XSyXZgB0et1sqidEP8REBBAvvz5iI6KTrU2zS3MuX3r9mcX3kFBQUyYMIGdO3fy5MkTHB0dKVasGN7e3lSvXh03Nzf8/f05ffo033zzTeJx3t7e+Pj4cOTIEQDGjBnD2LFjAVCr1WTPnp3atWszadIkHBwcku11fikpuoXgTU93dKwU3YbAzPjNx1JMTIwU3UIIgyQ93YZFhpcL8bbg4GCio6LpNKsVTrkdU7y9wHvPWTbwL4KDgz+r6Pbz86N8+fLY2dkxdepUihQpglarZe/evfTp04fbt28Db67Tf/rpJ44ePfrR8xUsWJADBw6QkJDA5cuX6dKlC0+ePGH37t1f9fqSgxTdQgDm5ubS020gzEzefCxFR6fet7NCCPE53vR0K51CAOj1evQ6KbqFeB+n3I64FMqhdIwP6t27NyqVinPnzmFpaZl4f8GCBencuXPin3v06MGCBQvYtWsX9erV++D5NBoN2bJlA8DZ2Zn+/fszatQooqOjMTc3T7kXkgTyCSUEYGYmRbeh+Hd4uaxgLoQwVOHh4WjMLD/9RJHi9PGxoNe/dcEuhDB8oaGh7Nmzhz59+rz336+dnV3i/7u5udGzZ0+GDRv25kvPJDI3N0en0xEfr/w1vhTdQvDP8HIpug3Cvz3dUnQLIQxVUFAQastMSscQgD7uze8Ka2trhZMIIT7HvXv30Ov15MuXL0nPHzFiBA8fPmT16tVJev7t27dZsGABpUuXNojPBym6hQDMLSylp9tAmJm8WbFcim4hhKEKCnoGZrZKxxCALu7NVCRDuKgWQiSdXv9mq96kLoLo4ODAjz/+yKhRo4iLi3vvc65du4aVlRXm5uYUKFCAnDlzJrlIT2lSdAvBm57umLikD1cRKcfC1BiA169fK5xECCHe78nTQOnpNhB6KbqFSJPy5MmDSqXi1q1bST7mhx9+IDo6mvnz57/38bx58+Lj48PNmzeJjo7m0KFD5M6dO7kifxUpuoXgzZwPGV5uGBzt3szrefbsmcJJhBDi/QJleLnB0MVFAWBlZaVwEiHE58icOTO1a9dm3rx57+1oCQ8Pf+c+KysrRo4cyYQJE4iIiHjncRMTE3Lnzo27uzumpqYpEfuLSdEtBP/O6U5QOoYA7KxMMTM15smTJ0pHEUKId+j1ekJePMfI0k7pKAKZ0y1EWjZ//nwSEhIoXbo0Gzdu5O7du9y6dYs5c+ZQtmzZ9x7TvXt3bG1tWbt2bSqn/TqyZZgQgK2tLS+jYpWOIXgzt8fZ3oanT58qHUUIId4RHh6OVhuHkfR0GwSZ0y3EhwXee27Q7bi7u3Pp0iUmTJjAoEGDCAwMxMHBgZIlS7JgwYL3HmNsbMy4ceNo06bN10ROdVJ0CwFkyZKF4JdRSscQ/8ie2VJ6uoUQBikoKAhAeroNxL9FtwwvF+L/2dvbY25hzrKBf6Vam+YW5tjb23/2cU5OTsydO5e5c+e+93E/P7937mvdujWtW7d+674xY8YwZsyYz24/tUjRLQRvPpzCI6NJSNBhZCSzLpTmnMWSJ48fKR1DCCHe8e96E9LTbRj0cdGYmVtgZGSkdBQhDIaLiwu3b90mODg41dq0t7fHxcUl1dpLa6ToFoI3Pd16vZ6wVzHY21ooHSfDc7a35sLlx0rHEEKId/x/T7cU3YZAp43GwtJS6RhCGBwXFxcpgg2IdOkJwZuiGyAkIlrhJALAxdGGR4+foNPJNm5CCMPy7NkzjExMUZmYKx1FALroSOzs7JSOIYQQHyVFtxCQOAcl+KUU3YbAw8mO2Ng4AgMDlY4ihBBvCQoKwtgqEyqVSukoAkh4HU52JyelYwghxEdJ0S0E0tNtaDyc7AB48OCBskGEEOJ/PHr0CLVlZqVjiH9Fh+OcXYpuIYRhk6LbgLm5uaFSqeT2npubm1uyvteZM7+5gJKi2zC4ZbUFpOgWQhgenyvXUGeWeZIGIyqcrFmzKp1CCCE+ShZSM2D+/v7o9XqlYxik5B7WZ2xsjI21FcFSdBsECzNjnOxtpOgWQhgUrVbLnTu3sK5cVuko4h/a12Fky5ZN6RhCCPFR0tMtxD/s7bNIT7cB8chmK0W3EMKg+Pr6Eq/VYuLornQUAegTtGhfR0jRLYQweFJ0C/EPBwcHnoe/VjqG+Iensx23bt5QOoYQQiS6evUqAMYObsoGEQAkvH4JIMPLhRAGT4aXC/EP5xwuPAnwUTqG+EfJPNlYdegIsbGxmJqaKh1HCCG4evUqZnYOGJlZKR1FAAlR4QDS0y3EewQEBBAcHJxq7dnb28u+4B8hRbcQ/8iRIwf7L51QOob4h1deJ7RaLVevXsXLy0vpOEIIwdWrV1FncVU6hvhHwuswQIpuIf5XQEAA+fPmJSomJtXatDAz49adO0kqvD+1NlOHDh1Yvnw5AIcPH2bGjBmcPXuWyMhInJ2dKVWqFH369MHFxQV3949P9xk9ejRjxoxJ6stIMVJ0pzEdO3ZkxYoVTJo0iaFDhybev2XLFpo0aZK48NqRI0eoWrUqYWFh2NnZvfdcixYtYs2aNVy6dInIyMj3PjcsLIz+/fuzbds2ABo1asRvv/32wXMCvHr1iqFDh7JlyxZCQkJwc3Ojf//+9OrVK/E5P/zwA8uXL8fKyoqpU6fSqlWrxMfWr1/Pn3/+yfbt2z/z3fk6OXPm5PGLiFRtU3xYEQ9HNBojLly4IEW3EMIgXPa5isblG6VjiH8kvHpTdDs4OCicRAjDEhwcTFRMDFOcnMhlkvKjBe/HxfJTYCDBwcFJKroDAwMT/3/dunWMGjWKO3fuJN5nbm4OwPz58+nbty/ff/8969atw93dncDAQM6fP8/AgQM5d+7cW+eaPn06e/bs4cCBA4n3WVkZxsgkKbrTIDMzM6ZMmUKPHj3IlCnTF58nKiqKOnXqUKdOHYYNG/be57Rp04bHjx+zZ88eALp3787333//0YJ44MCBHD58mFWrVuHm5sa+ffvo3bs32bNnp3Hjxmzfvp01a9awb98+7t69S6dOnahZsyZZsmQhPDycn3/+mYMHD37x6/pSOXLkIPJ1DBGvY7GxlOHMSjMz0VDEIyvnz59/6wsbIYRQQlhYGIFPH2NfUhZRMxQJr0Oxy5wFY2NjpaMIYZBymZhSwMxM6Rjv+O/oFFtbW1Qq1TsjVgICAvD29sbb25uZM2cm3u/u7k65cuXo37//O8dZWVmh0WgMcvSLFN1pUI0aNbh37x6TJk1i6tSpX3web29v4E2v+PvcunWLPXv2cObMGcqUKQPA4sWLKVu2LHfu3CFv3rzvPe706dN06NCBKlWqAG8K9YULF3LhwgUaN27MrVu3qFKlCqVKlaJUqVJ4e3vz4MEDsmTJwpAhQ+jdu3eKzAlJSEggMDCQgIAAAgIC8Pf3JyAggOfPnzNu3Dhy5swJQMDzCAq5y7fmhsArjyMnz51ROoYQQnD9+nUAjB1keLmhiA9/Rl4PD6VjCCFSwMaNG9FqtQwZMuS9jyf39sEpTYruNMjIyIiJEyfSpk0b+vfvT44cOVKkndOnT2Nra5tYcAN888032NracurUqQ8W3RUqVGDbtm107tyZ7Nmzc+TIEXx9ffn1118BKFq0KIsWLSIsLIwHDx4QHR1N7ty5OXHiBJcuXWLBggVflPf169dvFdP/+/+PHz8mPj4+8fm2tra4urri5uaGRqPB1fXNhZQU3YajlKcTi3fv5fXr11haWiodRwiRgV29ehW1kQbjzCnzO1d8Pn1EEJ5lCyodQwiRAnx9fbGxsXmr13rjxo106NAh8c+nT5+mcOHCSsT7bFJ0p1FNmjShWLFijB49miVLlqRIG0FBQTg6Or5zv6OjI0FBQR88bs6cOXTr1o0cOXKg0WhQq9X88ccfVKhQAYDatWvTrl07vLy8MDc3Z8WKFVhaWtKrVy+WL1/OggUL+O2337C3t2fRokUULPjhX6hnzpyhT58++Pn5ERoamni/Wq3G2dkZFxcXXF1dKVeuHC4uLol/zpkzJ7a2tm+dKyEhAWNjYx4GhX/mOyVSilfebOh0Oi5fvpz490cIIZRw9epVzBxcURnJpZOh0L0MIleuRkrHEEKkkP/tza5duzY+Pj48efKEKlWqkJCQoFCyzye/OdKwKVOmUK1aNQYNGpRibbxv6IZer//okI45c+Zw5swZtm3bhqurK8eOHaN37944OTlRo0YNAMaMGfPWSoJjxoyhRo0aGBsbM378eK5du8aOHTto3749Fy9e/GBbtra2lCtXju+++w5XV9fEwtrZ2RmN5vP+ehsZGeGS0xm/Zy8/6ziRcgq42mNmasz58+el6BZCKOqyzxVUWWQ7HEOhj48j5mUwHjK8XIh0KU+ePLx8+ZKgoKDE3m4rKyty58792df4hiDtJRaJKlWqRO3atRk+fDgdO3ZM9vNny5aNZ8+evXP/ixcvyJo163uPiY6OZvjw4WzevJn69esDUKRIEXx8fJg+fXpi0f1ft2/fZvXq1Vy+fJmlS5dSqVIlHBwcaNGiBZ07dyYiIgIbG5v3tpc/f35+++23r3iVb3Nz88Av6EmynU98HWONEcVzZ+XChQtKRxFCZGBRUVFcvnQJ6yqdlY4i/hH/8hno9eTKlUvpKEKIFNCsWTOGDh3KlClTmDVrltJxvpoU3Wnc5MmTKVasGJ6ensl+7rJly/Ly5UvOnTtH6dKlATh79iwvX76kXLly7z1Gq9Wi1WpRq9Vv3W9kZIROp3vn+Xq9nu7duzNjxgysrKxISEhAq9Umngt473Epxc3dHZ8Tt1OtPfFpXnmyslsWUxNCKOjUqVPEx2sxcymidBTxj/jwN9PcpKdbiPTJxcWFGTNmMGDAAEJDQ+nYsSPu7u6EhoayatUq4E19kVZI0Z3GFS5cmLZt235Rb29QUBBBQUHcu3cPgGvXrmFtbY2LiwuZM2cmf/781KlTh27durFw4ULgzUrkDRo0eGsRtXz58jFp0iSaNGmCjY0NlStXZvDgwZibm+Pq6srRo0dZuXLlW8v9/2vx4sU4OjrSqNGbOVnly5dnzJgxnDlzht27d1OgQIGP7gme3PLkycP6v1Z/cgi9SD2lPJ2Ys+Ui4eHhqfp3QQgh/nX48GFMrOwwtpfh5YZCGx6EsbEJzs7OSkcRwmDdj4tN0+3069eP/PnzM3PmTJo1a0ZERARZsmShbNmy7NmzJ80sogZSdKcL48aNY/369Z993O+//87YsWMT/1ypUiUAli1bljhcffXq1fTv359atWoB0KhRI+bOnfvWee7cucPLl/8/D/qvv/5i2LBhtG3bltDQUFxdXZkwYQI9e/Z867hnz54xceJETp06lXhf6dKlGTRoEPXr18fR0ZEVK1Z89uv6Gvnz5yfydQxPQ17hbG+dqm2L9/PK6wS8GWVRu3ZthdMIITKig4cOY5yjkHwZa0Diw4PI6er6zsg6IQTY29tjYWbGT4GBqdamhZkZ9vb2n31cx44dPzpNtkaNGu+dnvo+/7tmlCFR6fV6vdIhxPupVCrkx/N+KfXe3Lt3jzx58rB/SitqlHBL9vOLz6fX68nZ9neat+2ULub0CCHSllevXmGXKRO21bpjXbye0nHEP15s/IXKebKwa9cupaMIoZiYmBgePnyIu7s7ZmZmbz0WEBBAcHBwqmWxt7fHxSXjjQb62M/gv6SnW4j/cHd3x9TUhJv+wVJ0GwiVSkWD0u7s3LFdim4hRKrbsWMHCfHxxPhdwcTJE9NsuZWOJAAinpErV2mlUwhhsP7d0UcYBim6hfgPIyMj8nrm4VZAiNJRxH80+CY3C3f+ja+vb4osGiiEEB9y/PhxjNRGRPmeJMr3JBoTM1R22THPUwbronXRWGdWOmKGo0+IJybkyVvrywghhCGTiTBC/I/8BQpxMyBU6RjiP6oVc8XM1JgdO3YoHUUIkcEcPXqU2lUasmPFccYOmkadivWw0UYScXItTxd04MmvrQhaO5xIn93o4uOUjpshaEMfo0uIp2jRokpHEUKIJJGebiH+R4ECBTi0b6fSMcR/WJgZU62YKzu2b+OHH35QOo4QIoN4/PgxN27coEXdTmSyzUyNivWoUbEeer2eR0/9uXDlNOd8TnH+ymlCA64Svv93VBa2mOYogFXhWpi6FZOFvlKA9oUfQJpauVgIkbFJ0S3E/8ifPz8vwl4R/DIKe1sLpeOIfzQo40H/+Ydk6zAhRKrZt28fKpUKryJl37pfpVLh4uyGi7MbTeu1Jj4hntv3bnDe5xTnfE5x/c4pom6fQKMxAWt7zN1LYFW8Hiay5ViyiHvhh1P2HPK7QAiRZkjRLcT/KFCgAAC3AkKoWFiKbkNRv0wues/Zx759+2jRooXScYQQGcCO7TsomLcItjZ2H32exkhDobxFKZS3KJ1a9iIq+jU+Ny5y/sopzlw6QcClHURe2oHG1Bx1phyYe5bFqmhtNBa2qfNC0pn4F/4UL1ZE6RhCCJFkUnQbMFdXV9kT9ANcXV1T7Nx58uTByMjon6I7Z4q1Iz6Pi6MtRXJlY8eOHVJ0CyFSXGRkJLv37KZLq76ffayFuSXlSlWiXKlKDOgCwaEvuHDlNOevnObMpROEH1tJxPFVGJlZosmWB8v8lbHIXxG1xiQFXkn6owvxo2jRpO3bK4QQhkCKbgPm5+endIQMycTEhDy5Pbj64LnSUcT/qO/lzqKdO0hISMDIyEjpOEKIdGzHjh3ExMRQtWytrz6XfWYH6lRtRJ2qjdDr9Tx8dP+f+eAnuXjtHCEPLxG+9zewsMM0ZyGsitbG3EXmK79PQswrYsJfUKSI9HQLIdIOKbqFeI+SpUpz4dJRpWOI/9Hgm1xM+us0586do2zZsp8+QAghvtCG9Rso6FkEp6zOyXpelUqFh0tuPFxy06Lh92i1cdzwvcb5K6c4d/kkt28dI+rmETTGJmCTFXOPklgXr49xJqdkzZFWySJqQiRNQEAAwcHBqdaevb297Av+EVJ0C/EeXl5e/L1hHdr4BIw10qNqKMrky04WW0t27NghRbcQIsV8zdDyz2VsbEKxgiUpVrAk3dr049XrSC5fP8+5K6c4c/E4T89vIfL8FjSmFqizuGCZtzxWRWqjNsuYa47EPX+IsbEJnp6eSkcRwmAFBASQP18+oqKjU61NC3Nzbt2+neTCu2PHjqxYsSLxz5kzZ8bLy4upU6e+M5Kle/fuLFmyhNWrV9OqVatkzZ1apOgW4j28vLyIjYvnut8LiufOpnQc8Q8jIzX1vNzZumUz48ePlzUPhBApIjmHln8uK0trKpapRsUy1QAIevGUC1fOcP7KKc5ePknY4SW8PLIMtbk1GidPrApVw9yzLGp1xrik077wI2++/BgbGysdRQiDFRwcTFR0NKs6dSS/U8pfx94KDKLdsuUEBwd/Vm93nTp1WLZsGQBBQUGMGDGCBg0aEBAQkPicqKgo1q1bx+DBg1myZIkU3UKkJ8WKFcPIyIjzd4Kk6DYwLavk488Rf3Pp0iVKliypdBwhRDqUUkPLv0Q2h+w0qNGUBjWaotPpuOd3hwtXz3D28kmu3LhA8P3zGBlpwDIzZq5FsC5WD9Ps6bcXWPfiISVrykgnIZIiv1M2ShjwkG9TU1OyZXtznZ0tWzZ++uknKlWqxIsXL3BwcABgw4YNFChQgGHDhuHk5ISfnx9ubm4Kpv4yUnQL8R4WFhYULJCP83cC6V6/mNJxxH/ULuWBs4Mtf/zxhxTdQohkl5pDyz+XWq3G0yM/nh75afNtJ2LjYrl++zLnr5zhzOUT3Lt2kNfXDqAxMUVl64R5Li+si9dDY+OgdPRkodPGEv3sPt98M1DpKEKIZPbq1StWr15N7ty5yZIlS+L9S5YsoV27dtja2lKvXj2WLVvG2LFjFUz6ZaToFuIDvEp/w4Wju5SOIf6HxkhNp1oFmbN6NdOnT8fS0lLpSEKIdGT79u2KDS3/XKYmppQs8g0li3xDz++9eRkRzqXrZznvc5rTl47z/MwGIs78jcbMAiN7dyzyV8CqUA3UJmZKR/8icUF30SckyJoeQqQTO3bswMrKCoDXr1/j5OTEjh07UKvVANy9e5czZ86wadMmANq1a0f//v0ZPXp04nPSirSVVohUVKpUKa49fEZ0rFbpKOJ/dK5dhIjISP7++2+lowgh0pmlS5dStEBJgxha/rlsbeyoWq42Q3qPYfMfB1n/+x4G9xpFheLlMAp5SNj+33nya0sez/2e55sm8PruWXQ6ndKxkyz26W0sLC0pVKiQ0lGEEMmgatWq+Pj44OPjw9mzZ6lVqxZ169bF398feNPLXbt2bezt7QGoV68er1+/5sCBA0rG/iLS0y3EB3h5eZGQoMPn/nPKFkh7F1/pmbuTHTVKuPPH4kV06NBB6ThCiHTi4cOHHDx4kJ/7T1A6SrJwzpYT52w5+bZ2CxISEvB9eIvzPqc5e/kE126fJ/ruaTQaY7DKgplbcayK1cU0q4fSsT9I+/QOpb1KY2Qku4oIkR5YWlqSO3fuxD+XLFkSW1tbFi9ezNixY1m5ciVBQUFoNP9fsiYkJLBkyRJq1TL80Uj/JUW3EB9QuHBhTEyMueAbKEW3AepatwitJmzl9u3b5MuXT+k4Qoh0YNmyZVhZWlG1XNq6mEsKIyMj8ucuRP7chWjfrBsxsdFcuXmR81fOcPbScR747OaVz240JmaoMjljkbsMVsXqorHKpHR0APR6PfGBdyjfvJfSUYQQKUSlUqFWq4mOjmbXrl1ERkZy+fLlt75ou337Nm3btiUkJOStud+GTopuIT7AxMSEokWKcPZ2IP2UDiPe8W25PGSxtWTJkiVMmzZN6ThCiDQuPj6eJUuWUqNifcwzwB7YZqbmlClegTLFK9C344+Ehgdz8epZzl85zemLxwk9uYaIU2sxMrXEKGsuLPNXxrJgFdQaE0Xyxr98RmxkqMznFiIdiY2NJSgoCICwsDDmzp3Lq1evaNiwIbNnz6Z+/foULVr0rWMKFiyIt7c3q1atYsCAAUrE/iJSdAvxERUrVWbD6qXo9XrZE9rAmJpoaF+jACuWL2PChAmYmChzISiESB927tzJ06dPaDSomdJRFJHZzp6alepTs1J99Ho9AU/9OO9zivM+p7lw9Qyh/lcI3zcPtYUtJjkKYlWkJqauxVJtMaO4p7cB+Oabb1KlPSHSg1uBQQbdzp49e3BycgLA2tqafPnysWHDBvLnz8/OnTtZs2bNO8eoVCqaNm3KkiVL0lTRrdLr9XqlQwhhqLZv306jRo24v7InHk52SscR/+OG3wsKdVvC33//zXfffad0HCFEGlarVi2eBjxj0ZS1SkcxOPEJ8dy+e51zV05x7vIpbvheQafTodGYgLUD5h4lsCpeD5MsOVMsQ+j+33F4eYf793xTrA0h0pqYmBgePnyIu7s7Zmb/vytBQEAA+fPlIyo6OtWyWJibc+v2bVwMeF/wlPChn8H/kp5uIT6iYsWKqFQqjlzxl6LbABV0c6BswRz8sXixFN1CiC9279499u/fz4gBE5WOYpA0RhoK5StGoXzF6NyyN6+jX+Nz/Tznr5zmzKUTPLq4nciL29GYmqPOnBOLPGWxLFobjYVNsmVICLpNxZrlk+18QqRnLi4u3Lp9m+Dg4FRr097ePsMV3J9Dim4hPsLOzo7ixYpy5EoAnesU/fQBItV1rVOYrjP3EBAQIB/2Qogv8vvvv2NrY0e18nWUjpImWJpbUt6rCuW9qgDwIvQ5F66c5rzPKc5cPkn4sRW8PL4SIzNrNNnyYFmwChb5K6JWf9llpy4umuigh5Qt+2Myvgoh0jcXFxe5LjIgUnQL8QlVqlaTed0GrEXl/AxYcIhFixYxfvx4peMIIdKYly9fsnjRYhrWaIapianScdIkh8yO1K3amLpVG6PX63kYcI/zV05zzuckl66fJ+ThRcJ3/4rKIhMmOQthXawOZjkLJvn8sY9votclUKVKlZR7EUIIkYKk6BbiE6pUqcLMmTN5GPRShpgbICtzE7rXLcK8ub8xZMgQbGySbzijECL9mz9/PjGxsbRo2F7pKOmCSqXCwzUPHq55aNmoPVptHDd8r3LO5xTnLp/k9q0jRN08jMbYFGwcsfDwwqpEPYztsn3wnDH+V3DM5oSnp2cqvhIhhEg+UnQL8Qkyr9vw/dCsNHO3Xeb3339nyJAhSscRQqQR0dHRzJo1m7pVG2Of2UHpOOmSsbEJxQqWoljBUnRv25/IVxFcvn6e81dOcfrScQLPbyLi/CY0phao7V2xzFseq8K1UP9n2zbto6s0rllDRpsJIdIsKbqF+ASZ1234nO2t6VCzEDNnTKdfv36Ym5srHUkIkQYsXbqUkJBg2nzbSekoGYa1lQ2VvqlOpW+qAxD0/Ok/Q9FPcd7nFGGH/uDlkaWozawxdsqLuWdZogPvUa3azwonF0KILydFtxBJIPO6Dd+QFmVYsmcRy5Yto3fv3krHEUIYOK1Wy9Sp06heoQ45nGSxIaVkc8xOw5rf0bDmd+h0Ou753XlThF8+yZWbFwm9fw6NkYZq1aopHVUIIb6YWukAQqQFVapU4dGzcB4EhisdRXxAbudMfFcxLxPGjyMuLk7pOEIIA/fXX38REOBPu6ZdlY4i/qFWq/H0yE/bJp359Zcl7F1zlvKlKpPdObuswiyESNOk6BYiCSpXroyxsYY95x8oHUW8R/irGFqN38Kmk748DQxiyZIlSkcSQhgwnU7HpEmTKe9VhdxueZWOIz7AxNiE+/6+NGnSROkoQgjxVWR4uRBJYGNjQ6WKFdlx9gF9GpdUOo74R2hEFN1m7WHLmbvoEvTYlrElITKBSVMm0bVrV4yNjZWOKIQwQNu3b+fWrZv8Pnm40lHER/g/fkDQi0Bq166tdBQh0pyAgACCg4NTrT17e3sZkfIRUnQLkUQNGjZi6E+DeR0dh6W5idJxMrQX4VF0nbmLHefuo9PpsStrh0NDB0ydTIl5HMO9kfdYvnw53bp1UzqqEMLA6HQ6Ro0aRfFCXhTOV1zpOOIjzl4+iampKZUrV1Y6ihBpSkBAAPny5Sc6OirV2jQ3t+D27VtJKrwbNmxIdHQ0Bw4ceOex06dPU65cOaytrYmMjPzgOY4cOZKmPhuk6BYiierXr8/AgQM5eNmfRuXyKB0nQwoKfUWXGbvYc/EhOr0eu/J2ODRwwDSraeJzzHKYYVfajrHjxtKhQwdMTOQLEiHE/1u7di1Xr15l4eTVSkcRn3D28kkqVqyIhYXFp58shEgUHBxMdHQUHaoNI5tdyvc+B4UHsOLQJIKDg5NUdHfp0oWmTZvi7++Pq6vrW48tXbqUYsWKcfDgwXfW6ImLi6N+/fqYmZlRpkyZZH0NKU2KbiGSKE+ePHjmyc2Os/ek6E5lT4Ij6DJjN/su+6HX68lUMRMODRwwcXh/QW3f2J57P99j8eLF9OnTJ5XTCiEMVWxsLD///DMVy1SjUL5iSscRHxEbG4PPjfNMmDhB6ShCpFnZ7FzI6eCpdIx3NGjQAEdHR5YvX87o0aMT74+KimLdunVMnDiRzJkzv3Nct27dePHiBRcuXMDMzCw1I381WUhNiM/QoGEjdpx7iF6vVzpKhuD/LJzqQ9aSs90C9l5+SKbKmfCc6olzJ+cPFtwAZtnNyFQ+EyNGjSAsLCwVEwshDNm4cePw9/ene5v+SkcRn+Bz8wKxcbHUqVNH6ShCiGSm0Who3749y5cvf+uaesOGDcTFxdG2bdt3jpk/fz4rV65k06ZN5MiRIzXjJgspuoX4DA0aNCAwOILL954pHSVdexgYTpVBq3Fv/zuHrwaQqWom8k7LS/b22TGxT9pwccdmjryKfsXYsWNTOK0QIi0IDw9n9qzZAIydNYQLV84oG0h81NEzB3F1daVAgQJKRxFCpIDOnTvj5+fHkSNHEu9bunQpTZs2JVOmTG8999ixY3h7ezNv3jzKlSuXykmThxTdQnyGChUqYGNtzY4z95SOki7dfRJKBe9V5Or4O8duPiZzjSx4zvAke7vsGGf+vJXIje2MydIwC7/N/Y2bN2+mUGIhRFoxfvx4EuJ1NPDqzJPAJwwY3YWBY7pz389X6Wjif8QnxHPs7AFatGiBSqVSOo4QIgXky5ePcuXKsXTpUgDu37/P8ePH6dy581vPCwgIoFmzZnTv3p2uXbsqETVZSNEtxGcwNjamdp3a7Dz/UOko6cot/2DK9l+JZ+dFnPJ9QpZa9nhO98SpjRPGdl++7VeWmlkwdTCl/4D+MiVAiAzs/v37zPl1DtWLtKROibZMab+FakWa43PjAu29mzJhzs+8CJERTIbC5/oFwsJDadGihdJRhBApqEuXLmzcuJGIiAiWLVuGq6sr1atXT3w8OjqaJk2aULBgQWbPnq1c0GQgRbcQn6lBg4acu/WEoNBXSkdJ864/fIFXn+UU6P4HZ+8HYl/Xnrwz8pKtVbavKrb/pTZW49DSgYMHDrJ9+/ZkSCyESIuGDBmCtUUmqhdpDoBaraZp2Z5MbPc3xTwqsvfoDpr3rMPCVb/yOko+25V26NReXF1dKVmypNJRhBApqEWLFhgZGbFmzRpWrFhBp06d3hrd0rVrV0JDQ9mwYQMaTdpe/1uKbiE+U7169TAyMmLzSRmS+KUu3w2iRK9lFO6xhIt+z3Co70DemXnJ1jwbGpvk/VC1LmaNTWEbBgwcQGxsbLKeWwhh+A4cOMCmTZtoULIzJsZvr3ZrZmJB15qjGd1yJTky52HVxj/4rltN/t65Gq027gNnFClJhpYLkXFYWVnRsmVLhg8fztOnT+nYsWPiY9OmTWPDhg38/vvvxMfHExQU9NYtOjpaueBfIG1/ZSCEAuzt7alRvTp/HblDr4YllI6Tppy//ZSuM3dz1e8FahM1Do0csK9lj5GlUYq1qVKpcGztyP0R95k9ezY//fRTirUlhDAsUVFRdOvWHU/nYnjlqfHB52W2zsqgb+fg9/w2Kw5NZNbiify1dQV9Ov5IlbI1pfhLRTK0XIjkExQeYPDtdOnShSVLllCrVq239vieP38+Wq32gzsYLFu27K0i3dCp9DLRUYjPtnz5cjp37syjNb1xtrdWOo7BO33zMd1m7uFGQDBqMzX2de3JUiMLRhYpV2z/r8DVgUSfiube3Xs4OTmlWrtCCOUMGTKE2bN+ZVizxTjaJn2Lmcv3j7L+5Bwio8MpkKcw/ToPoUh++ZI1NUxdMBaf22d5+PChfNkhxCfExMTw8OFD3N3d39q3OiAggHz58hMdHZVqWczNLbh9+9ZbhXNG8KGfwf+SoluILxAeHk7WrI5M6VIJ76ZeSscxWMevBtBt9h7uPA7FyFyNfT0HMlfPjJF56hXb/0p4ncD9YfdpUrcJf/31V6q3L4RIXZcuXcLLy4v6pTpRu3ibLzrHfp+/2Ht5FTFx0VQsU43e7Qfh4uyWvEFFoviEeL7tUpWu3bowdepUpeMIYfA+VvAFBAQQHBycalns7e0zXMENUnQLkeK+bdyYoLuXODOnndJRDM7By370+nUvd5+EYWRphH19ezJXy4yRWeoX2/8Vfjqcxwsf8/fff/Pdd98pmkUIkXLi4+PxKuVF8NNIBjeej5HRl8+mi9fF8/eJ3zh7dy8JCQl8W6cFnVv2JpNdlmRMLAAuXDnDgNFdOH/+PKVKlVI6jhAGL6kFn0g5Sf0ZyEJqQnyhVq1bc/bWYx4GhisdxWDsvfCAXO1/p8aQv3jwMoJsrbKRd2ZeHOo5KF5wA9h+Y4ttSVu69ejG8+fPlY4jhEghs2bN4urVq7Su8MNXFdwAGrWGVpUGMqHt3+TLUYqtezfwXfdaLF//O9ExqTd0MyOQVcuFEOmVFN1CfKEGDRpgbm7GuqO3lI6iuO2n7+L2/QLqDFtPwOtXOLV1Iu/MvNjXsUdtajgfMyqVCqcOTrzWvqZnr56yd7cQ6dC9e/cYOXIUlQs1wdUxX7Kd18LMit71JjG8+VIcrHPwx9q5NO9Rh+37N5KQkJBs7WRUsmq5ECI9M5yrYSHSGCsrKxo2bMhfR+8oHUUxm47fwaXtPBqN2siT6Nc4fe+E53RPstTMgtrEMD9eNDYasn6flc2bNsvcbiHSGb1eT4/uPbA2s6OBV6cUaSOrXQ6GNltI/wbTUSUYMXneKL7v35hTF47JF3lfQVYtF0KkZ4Z5VSxEGtGqVWuu3AvidkCI0lFS1fqjt3BuPY/vftlMkDaG7B2zvym2qxtusf1ftl622JWxo2fvngQGBiodRwiRTJYtW8ahw4doUW4ApsbmKdpWnuzF+KXtWtpWGcKLkGAGj+9F3xEduX3vRoq2m17J0HIhRHpm+FfHQhiwunXrYm1lxV9HbiodJVWsPngdp1a/0XL8Vl7oYsjeKTt5puUhc5XMqI3T1sdJtu+zEUssXbt1ld4pIdKBe/fu0a9ff8p41qKAS+lUa7ds3tpM/n4TdUq046bvNbr82IIxMwYT+OxJqmVI62RouRAivUtbV8lCGBgzMzOaNWvGigM30enSb+G2bM9VsraYQ7vJOwhVaXHu6oznVE8yV86MWpM2P0Y0VhqydsjKrp27WLlypdJxhBBfIS4ujpYtW2Ftmonm5fulevtqtZoGXp2Y3H4LXnlqcPjUPlr2rsfcZdOIiAxP9TxpzdlLJwgLD6V169ZKRxFCiBSRNq+WhTAgXbt1wy8wjEM+/kpHSXaLdvrg0OxXOs/YRbhxPDm65yDPlDxkqpAJlSbt90bYFLchU/lM9O3fF3//9PfzEyKjGDVqFFd8rtC+yjDMTCwUy2GiMaFDtWH80uYvcmUtxLrtK2nWvRZrtywnThunWC5Dt/3ARooVK0bx4sWVjiKEEClC9ukW4ivp9XoKFshPkWxq/vq5sdJxksW8rRcZtfI4oRExmGYzxeFbB2xL26JSp/1C+38lvE7g4ZiHFHAtwKkTpzA1NVU6khDiMxw8eJCaNWvSqHRXahZrpXSctzwJecCyg+N5FhaAg31Wen0/kBoV66FWS5/Hv4JDX9C0W3XmzJlD7969lY4jRJrysT2iAwICCA4OTrUs9vb2uLi4pFp7y5cvx9vbm/Dw8FRr832Suk/3121eKYRApVLRtVt3hg39ieCXUdjbKtfL8jV0Oh1zNl9g7OpThEfGYJrdlJzf58SmpE26LLb/ZWRphHMfZ65MuEL//v1ZuHCh0pGEEEkUGBhI61atyZujBNWLGt6q185ZPBjRYinX/c+y9vgMxs76iTVbltGv8xBKFi6jdDyDsOfIVoyNjWnTpo3SUYRINwICAsifPz9RUVGp1qaFhQW3bt367ML70aNHjBkzht27dxMcHIyTkxPffvsto0aNIkuWLAC4ubnh7e2Nt7d3CiRPHVJ0C5EMvv/+e4YO/YlVB2/g3dRL6TifRafTMX3DOSb8dZqIV7GY5TDDpaML1sWt03Wx/V/mbuZkbZeVRYsWUbZsWTp27Kh0JCHEJ8THx9OqZSu0MXo61BuGWmW4vceFXMswwXU9R69tZsfFZfQf2ZlvSlSgT8fBeLjkVjqeYvR6PTsObKJZs2bY2dkpHUeIdCM4OJioqChGDZyCWw6PFG/P7/EDfpn1E8HBwZ9VdD948ICyZcvi6enJ2rVrcXd358aNGwwePJjdu3dz5swZMmfOnILJ36XVajE2Nk7280rRLUQycHBw4NvG3/LHnmMMaFIqTay+qtPpmLT2NJM3nOXV6zjMXc1x6eKCdTHrNJE/uWWunJno+9H06NmDYsWKUaxYMaUjCSE+YvTo0Zw4cYL+DWZgbZ5J6ThJUrlwEyoWbMzmMws5cXUb7Qd8S/3qTejaph8OmR2VjpfqfG5c4NFTf7p2XaF0lHe4ubnJWh8KcXV1xc/PT+kY6YJbDg/y5iqgdIwP6tOnDyYmJuzbtw9z8zfbPLq4uFC8eHFy5crFzz//zK1bt/D392fgwIEMHDgQ4K1dZ/bu3Yu3tzePHj2iQoUKLFu2DCcnp8THly1bxtSpU3n48CFubm70798/cSqLn58f7u7urFu3jvnz53PmzBkWLFhAtWrV6Nu3LydOnCAuLg43NzemTZtGvXr1vvi1StEtRDLp1r07tWr9zdlbT/mmgLPScT5Ip9Pxy6qTTN94jtdRWszdzXFt4opVYasMWWz/l1M7J/wf+dO4SWN8LvmQKVPauJAXIqPZuXMnEydOpFHpruTOXkTpOJ9FrVbzXble1C/VgT+PTGH34W3sPbqDNt92om2TzlhaWCkdMdVs37+RXLlyU6lSJaWjvMPf31+2k1RIRr8WyShCQ0PZu3cvEyZMSCy4/5UtWzbatm3LunXruHv3LsWKFaN79+5069btredFRUUxffp0/vzzT9RqNe3atePHH39k9erVACxevJjRo0czd+5cihcvzuXLl+nWrRuWlpZ06NAh8Tw//fQTM2bMYNmyZZiamtK9e3fi4uI4duwYlpaW3Lx5Eyurr/tslqJbiGRSvXp1XF1y8sfuqwZZdOt0OkYsP8bsLReJjtZikcsC1ybZsSooxfa/1CZqnHs74zfWj7bt2rJj+w5Z8EgIA3P9+nVatWxNYbdy1CjWUuk4X8zMxIJutcYSEvmMZQfG8effi9m8+y+6telHo1rN0GiSf3ijIQmPCOPw6X2MG/cLcXFx/PLLL1SpUoXq1avL564QGcDdu3fR6/Xkz5//vY/nz5+fsLAwEhISMDIywtrammzZsr31HK1Wy++//06uXLkA6Nu3L7/88kvi4+PGjWPGjBk0bdoUAHd3d27evMnChQvfKrq9vb0TnwNv5sR/9913FC5cGAAPj68foi+fakIkE7VaTZeu3fjr6G0io2KVjpMoPl7H4EWHsGw8k0lrz6DKaYzbEDfcR7hjXShjDiX/GBMHE5y6O7F7924mTpyodBwhxH88e/aM+vXqY2fhSIeqhj2PO6myWGflxyZz+aHxHEzUlsxYNJ42fRty9MyBdN3TuvPgZlQq6Ny5MzExMezatYtatWqRJ08epkyZwrNnz5SOKIRQ0L+ffx+7TrWwsEgsuAGcnJx4/vw5AC9evODRo0d06dIFKyurxNv48eO5f//+W+cpVarUW3/u378/48ePp3z58owePZqrV69+9etJ+7+thDAgHTt2JDpWy9rDt5SOQlxcPAMXHMDq25lM33AOIzdT3Ie64zHcA6sC0rv9MdZFrHFo5MCoUaPYvXu30nGEEEB0dDSNGjYiIuw1PWqNV3Q/7pTgljU/Y1r/SacaI4l4GcHwyQPoMbQt12/7KB0t2el0OrbuW0+LFi2wt7fH1taWS5cuceLEicSL3Jw5c9KiRQsOHjyITqdTOrIQIpnlzp0blUrFzZs33/v47du3yZQpE/b29h88x/8ueKZSqRKL9X8/NxYvXoyPj0/i7fr165w5c+at4ywtLd/6c9euXXnw4AHff/89165do1SpUvz222+f/Rr/S4puIZJRzpw5adigAXO2XlKshyIuLp4+v+3FuuksZm+6gHFuM9yHu+M+1B3LfJafPoEAwLGxI9ZFrWnWvBk+Pj5KxxEiQ9PpdHTs2BEfn6t0q/kLmazS76JjJXNVYVL7TTTy6sK9h770GNqW4ZMH8Ohp+lnU65zPSZ4EPnprX26VSkX58uVZuXIlT58+Zdq0aVy/fp0aNWqQN29epk2bxosXLxRMnTyWL18uK7ULAWTJkoWaNWsyf/58oqOj33osKCiI1atX07JlS1QqFSYmJiQkJHzW+bNmzYqzszMPHjwgd+7cb93c3d0/eXzOnDnp2bMnmzZtYtCgQSxevPiz2v9fUnQLkcy8Bw7kxsPnHLjkl6rtxsTF02PWHqyazGL+tsuYelrgMcIDt8FuWHpKsf25VGoVzj2dUTmqqFOvDo8ePVI6khAZ1pgxY1i/fj3fV/kJV8d8SsdJFbVKtGHK95sol78+py4cpU3fBsxcNIGwl6FKR/tqm/eso2jRopQp8/69yjNnzsyAAQO4ceMGx44do0yZMowcORJnZ2datWrF4cOHFR16/++Q1ezZs2NiYoKrqysDBgwgJCTkree5ubkxe/ZsZUImwZgxY8iXLx+WlpZkypSJGjVqcPbs2U8eN3v2bPLmzYu5uTk5c+Zk4MCBxMTEJD6+evVqcubMSebMmRk8ePBbx/r5+eHp6UlERESyvx6R9sydO5fY2Fhq167NsWPHePToEXv27KFmzZo4OzszYcIE4M2/pWPHjvHkyROCg4OTfP4xY8YwadIkfv31V3x9fbl27RrLli1j5syZHz3O29ubvXv38vDhQy5dusShQ4c+OPc8qWQhNSGSWeXKlSlWtAizNl2gZslPf5P2taJi4ug7dz+rDt1Aq9VhXdQal28dMXc3//TB4qOMzIzIMSAH/hP8qV23NqdPnsbW1lbpWEJkKKtWrWLcuHE0Kt2V4h6Gt8p1StJoTGhT6Qcale7KykMT2bxnHTsPbqZ9s+60bPQ9ZqZp73M+8NkTTp4/wsKFCz85zUmlUlGxYkUqVqzIr7/+ysqVK1m4cCHVqlUjT548dO/enY4dO350+GlyM8R9heHL9hb29PRk7ty5eHh4EB0dzaxZs6hVqxb37t3DwcHhvcesXr2aoUOHsnTpUsqVK4evry8dO3YEYNasWQQHB9O1a1eWL1+Oh4cH9evXp0qVKtSvXx+AXr16MXnyZGxsbL7q9Yqk8Xv8wKDbyZMnDxcuXGDMmDG0bNmSkJAQsmXLxrfffsvo0aMT/y398ssv9OjRg1y5chEbG5vkL926du2KhYUF06ZNY8iQIVhaWlK4cGG8vb0/elxCQgJ9+vTh8ePH2NjYUKdOHWbNmvVFr/FfKn16XqVDCIWsXLmSDh06cPOPruR3TZmLgVdRcfT+bR9rj94kXqvDpoQNDo0dMHdNexdhhi7maQz+E/wpX7o8e3bvwdTUVOlIQmQIJ06coHq16pTwqEbbyj9m+LUonoU9YunBcTwNfUAm28z0/H4gdao0wsjISOloSbbgz1ls27eep4FP35lHmRR6vZ5jx46xcOFCNm7cCMB3331Hjx49qFSpUrL9Hfnv3ND/qlu3LtevX8fX1/etbY6CgoLIlSsX7du3Z8GCBVSpUoWjR4++k3358uV4e3uzbt06g9tbOCIiAltbWw4cOED16tXf+5y+ffty69YtDh48mHjfoEGDOHfuHMePH+fcuXM0atSIoKAgAFq2bEmpUqUYPHgwa9asYd26dWzduvWjOT703ot3xcTE8PDhQ9zd3TEzM0u8PyAggPz58xMVFZVqWSwsLLh16xYuLi6p1qYh+NDP4H9J0S1ECoiLi8PVJSeNS2Xnd+86yXruiNcx9Ji9lw0n7pAQr8OmlA2OjR0xy/nhf+ji672+85qA6QE0btSY9evWp6mLXCHSops3b1KxQkXsLXLSu+4UNEbpewutz3Hn8WVWHZ1K2KvnuOXMRb9OgylTvILBfynxOuoV33WvQbfu3ZgxY8ZXny84OJgVK1awaNEifH19yZs3L927d6dDhw5kyZLlq879vsIvNDQUe3t7JkyYwLBhw945pnv37vz999+EhIQQFhZG0aJF39pbOFu2bCxfvpzu3btTuXJlJk2alLi3cPHixT+5t/DMmTPp0KFDYtHt5ubGjBkzKF68+Ft7C8+YMSNxb2EbG5sk7YMeFxfHnDlzGD9+PPfu3fvg6IG//vqLnj17sm/fPkqXLs2DBw+oX78+HTp0YOjQoYSFheHq6srRo0dxdXWlVKlSLFiwAC8vL0qXLs3hw4fJmTPnZ7/34v0+VvAFBAR81lDsr2Vvb5/hCm5IetEtw8uFSAEmJib06duPiePHMaFzZbLYfH3vc/irGLrN3M3m03dJiNdhW8YWh0YOmDlLsZ0aLPNa4tzLmc1zN9OnTx8WLFhg8Be4QqRV9+/fp3q16lgY2dGlxhgpuP9H3hzFGdd2Ladv7Wbz2YUM+qUnJQqXpm/HweTNVUDpeB+0Zc86YmJj+OGHH5LlfPb29gwaNIgffviBI0feDFkfOnQow4cPp1mzZlSsWPGzPqfd3NyoVavWBx9P6r7CL168wNHRMU3sLbxjxw5atWpFVFQUTk5O7N+//6PD9Vu1asWLFy+oUKECer2e+Ph4evXqxdChQwHIlCkTK1asoH379kRHR9O+fXtq165N586d6devHw8fPqRRo0ZotVrGjBlDs2bNPplRfBkXF5cMWQQbKim6hUghPXv2ZMKE8SzccZnhbcp98XmCw6PoNms3287dQ5egx/YbWxwbOmKaXYY4pzabEjZk75idhQsXki1bNsaMGaN0JCHSncePH1OtajX0cRp6N5iCpZnM/fyQsvnrUiZvbXZcWMaR6xvpPKg5tSo3oEfbAWRzzK50vLfExsWyfseftG/fHmdn52Q9t0qlomrVqlStWpXnz5+zYsUKFi9ezJo1az7rPPnz5+fGjRtfnCMp+wpD0vcW/reHHCA+Pv6dNUXet7dwr1692LdvHzVq1OC7776jSJEiH81StWpVfHx8CA4OZvHixbRo0YKzZ8/i6Pj+HQKOHDnChAkTmD9/PmXKlOHevXsMGDAAJycnRo4cCUCTJk1o0qTJW8dcu3aNuXPnkjt3btauXUu2bNkoXbo0lSpV+mBbQqQnsnq5ECnE3t6e79t9z9ztPsRpP2+bA4DnYa9pOGIDWVv9xpbTd7H5xpY8k/KQs0dOKbgVlKlSJrI2z8rYsWOZPHmy0nGESFcePnxI+fIVeP0ylj51p2JjkfoLUqU1arWaRqW7MLn9FkrlrsahE3to2asu85ZPJ+LVS6XjJdp1aAuh4SH89NNPKdqOo6MjgwcPxtfXF51O91m3TxXcybGvMBjW3sKWlpbkzp2bb775hiVLlqDRaFiyZMkHnz9y5Ei+//57unbtSuHChWnSpAkTJ05k0qRJ791PPTY2lt69e7Nw4ULu3btHfHw8lStXJm/evHh6eiZptXQh0gMpuoVIQd4DBxIYHMH6o7eSfMzT4EjqDltPttZz2XH+Prbl7MgzJQ85uubANJsU24bAvp49jt86MmzYMMaNG6d0HCHShefPn1OjenUCAvwpkKNMut6LOyWYaEzoWP1nxrZeg5tjQf7atoJm3Wvx17YVxGnjFM0WnxDP2i1LafZdM/LkyaNolq/xOfsKA2lyb2G9Xk9sbOwHH4+KikKtfrt8MDIyQq/Xv3ce9rhx46hbty4lSpQgISGB+Pj4xMe0Wu1nvz/i/WQOvHKS+t7L8HIhUlCBAgWoXasW0/++QNvqBT865OzR8wg6z9jFwSv+6PV6MlXKhEN9B0wcTFIxsUgKlUqF47eOoIZRo0YRFxfHL7/8InO8hfhCz58/p2qVKkSFhVE5Tx6O3tyGicaMb7/pLv+uPpOtZRa8G83k0Yt7LD80gd+WTmX9tj/p3eEHqpWv807BlBoOndjDk6DHDB02NNXbTm5z586lXLly1K5dm/Hjx7+1Zdh/9xWG/99buFWrVpiamiZ5a7MxY8bQv39/bGxsqFu3LrGxsVy4cIGwsLCPzof39vambt26eHp6EhYW9tG9hV+/fs2ECRNo1KgRTk5OhISEMH/+fB4/fkzz5s0Tn/fvdIBJkyYB0LBhQ2bOnEnx4sUTh5ePHDmSRo3eXUX/xo0brFu3Dh8fHwDy5cuHWq1myZIlZMuWjdu3b+Pl5ZWk90S837+jJqKiot5aTV+knn9XiP/Uln1SdAuRwoYOG0bVqlXZde4+9cvkfudx/2fhdJy2i6PXHqFX6clcJTP29ewxySLFtqFzbOSISqNi/PjxxMXFMXnyZCkQhPhMz549o1rVqoQGBnLEewB5s2Wl+aLF/H1pPdqEWJqV74taJQPzPldOh9yMbLmM6/6nWXNsJqNnDGb15qX07/wTxQulXqGj0+lYtfkPateuTfHixVOt3ZSS1H2FwbD3FjYyMuL27dusWLGC4OBgsmTJgpeXF8ePH6dgwYKJzwsICHjri5oRI0agUqkYMWIET548wcHBgYYNG771ZQO86f3r3r07s2bNShwGb25uzvLly+nTpw+xsbHMnTs32ef3ZzRGRkbY2dklrglgYWEh1yGpRK/XExUVxfPnz7Gzs/vkrjayZZgQKUyv11OxQnniwwI4/Wu7xA/D+0/C6DR9JyduPga1isxV3xTbxplkld60JnhfMEFrgvD29mbmzJnyC0+IJPq34A4LCuTwgDcF97/aLV3O6nPnKJevHq0qDZTC+ysdvrqRnReXExMXRdmSlejTcRDuOd/9Iji5nTh3mJ8m9uXo0aNJ2rrKUMi2VcqR9/7z6PV6goKCCA8PVzpKhmRnZ0e2bNk+ee0nRbcQqWDPnj3UrVuXA1NakcPBms7Td3H69pM3xXb1zNjXtcfYTorttCzkYAiBfwbSq1cv5s6dq8gQTiHSko8V3P/q9udq/jh5ktJ5atKuymDU6o/3JIiP0+l0bDw9n1O3dxKfoKVBje/o2rov9pkdUqQ9vV5Pr2HtsMpkzsmTJ9PUF5JS+ClH3vsvk5CQgFarVTpGhmJsbPzJHu5/SdEtRCrQ6/WUKlmCe3duERETi8pIRZaaWbCvY4/GRmZ5pBehR0N5uvwpXbt0ZeHChVJ4C/EBN27coEG9esRGRnyw4P5X/7/W89uRo5TIVZkOVYdhZCSfmV8rOu4Vfx6eyo1HZzBSG9G2aRdaf9sJS3PLTx/8GS5fP0/fER3Zvn07DRo0SNZzpzQp/JQj771Ij6ToFiKVLFu2jM6dO2Nb2han753QWMuFY3oUdiKMJ0ue0Oy7ZqxcuVIWNhHif+zbt4/mzZrhamvL9l49cM2S5ZPHDNm4ien7D1LErTydaoxAYyQjg5JDSEQQSw+MIyDYFxsrG7q17U/DGk3RaJLn/f3hlx68jgvn6tWraaqXG6TwU5K89yI9kqJbiFSi1+spVqIYD2Me4jrUVek4IgVFXIzgyaInFC9anB3bdpA164d78YTISBYsWEC/fv2oXSA/azt3wuYzvpQatW0743ftIb+LF91qjsVYI4tNJpcHQTdYeXgSwRGB5HByoU+HH6lYptpXFcp37t+k86DmrF69mjZt2iRj2tQhhZ9y5L0X6ZEU3UKkom3bttG4cWPcfnLDKr+V0nFECop+GM3jOY9xsHZgz649b60GK0RGk5CQwKBBg/j111/pX7UKM5p9hyaJ8+D+a9LuPfy8bTue2YvTo/Y4TIzNkj9sBnbh3kH+PjWPV9EvKZSvGP06DaFQ3qJfdK6R037g4VNffH190WjS3sguKfyUI++9SI+k6BYiFen1ekqUKsH91/dxGeqS5obbic8TFxLHk1+foApTsfHvjdSqVUvpSEKkusjISFq3asXuPXuY06I5fapU/qrzzT5wkEEbN+ORrRC96k7E1FimcCQnvV7P3str2O+zhlhtDFXL1qJne29yOCV9hNZ9P186DGzKggUL6NGjRwqmTTlubm74+/srHSNDcnV1xc/PT+kYQiQrKbqFSGW7du2ifv36uP3ohlUh6e1O7xKiE3iy4Amvbrxi/rz5afYCVIgv8ejRIxrUr8/De/dY37UzdZJpxMeCo8fo+9d6XBzy0qfeZMxN5bM0ucXHx7HuxBzO3zuAXq+jab3WdGzREzubTJ88dsiEPjwNDuD27VuYmMg0ACGEkKJbiFSm1+sp/U1pbofdxnW4q/R2ZwD6BD1Ba4IIORjCDz/8wNSpU5O8xYQQadX58+dp1LAhpgkJ7OjVk0LO2ZP1/MtOnqbrqjU4Z/GgX4NpWJhaJ+v5xRuvYiJYfnACvk8vY2JiQsfmPWjR4HtMTd8/tP/KzYv0Ht6etWvX0qpVq1ROK4QQhkmKbiEUsG/fPmrXro3rD65YF5ELxYwiZH8IQWuDqF+/Pqv+XIWtra3SkYRIERs3buT7du0o6pydLT26k9XGJkXaWXPuPO2XrySrnQv9G8zAylz+TaWUwDB/lh+cwNPQB2S2y0KPdt7UqdLorS8Q9Xo9vYZ/j5GpnosXL8q2iUII8Q8puoVQgF6vp1yFclwLuobbCDdUauntzigifSJ5uugp2bNm5+/1f1OqVCmlIwmRbPR6PZMnT2b48OG0LFWKZe3bYZ7Cw4s3XrpMyz+W4WCTnf4NZ2BjkTlF28vo7jy+xKqjUwl79QJ3l9z06zSYMsUrAHD83CGGTuzH3r17ZQ0LIYT4Dym6hVDI8ePHqVSpEs7dnMlU/tNz5ET6Efc8jie/PyH2USzTp02nf//+Ms1ApHnh4eH07NGDdevXM7JeXcY0qJ9qPZ27rl2n8e+LyGTpyIBGM7GzdEiVdjOyk7d2svXsIqJiX1GqyDf0av8DE377GVePnBw8eEA+04QQ4j+k6BZCQS1btmTr/q14TPTAyFzm+GYkungdzzY8I2RvCA0aNmDF8hVkziw9dCJtOnHiBG3btOFlSAiL2rSmRamSqZ7h4K1b1J27AGuLLHg3nEVm66ypniGj0el0bD+/hKM3NhOnjQXg3LlzeHl5KZxMCCEMixTdQigoICAAz7yeWFezJluLbErHEQqIuBxB0JIgHDI5sGHdBsqWLat0JCGSLD4+nvHjxzNu3DjKeniwqmMH3OyzKJbnxN17VJ/9GxZmtng3moW9TfIu3ibe71V0OCNWt6ZsuTIcO3ZM6ThCCGFwZIULIRTk4uLCsKHDCN0fSuyzWKXjCAXYFLfBbawbEeYRVKhYgSlTpqDT6ZSOJcQn+fn5UblSJcaNG8eoenU5MnCAogU3QIU8uTkxeCDRsRHM3NKfZ+GPFM2TURy7sQ21GlasWKF0FCGEMEjS0y2EwqKiovDM58kr+1fkHJBT6ThCIfoEPc83P+fFzhfUqlWL5cuW4+TkpHQsId6h1+tZtWoVffv0IZOpKas7dqB87lxKx3qLz6NHlJ06AyMjc7wbzcQpk5vSkdKt8NcvGLe+IwO8+zNlyhSl4wghhEGSnm4hFGZhYcHM6TN5efklkdcjlY4jFKIyUpG1WVZcB7ly9OxR8ubPy4oVK5DvRYUhCQwMpHGjRrRv354G+fPhM3yowRXcAMVy5uTCsJ/Q6WKYtXUAj0PuKx0p3dpxfhlWVpYMHz5c6ShCCGGwpOgWwgA0b96cChUr8GLtC/TxUmRlZNaFrHEf746moIaOHTtSp24dHj2SIbJCWXq9njVr1lCwQAHOHj/G5p7dWd25E3YWFkpH+6CC2Z248vNQVMQze6s3/i/uKB0p3Xn0wpezvvsYN34ctrayR7oQQnyIDC8XwkD4+PhQsmRJsrbOSpaays6LFIYh0ieSoBVB6F7rGDliJD///HOqbcEkxL+ePXtGr5492bxlC628SvFbyxbYW1kpHSvJ/ENCKDxuIrHxevrWn4pHtoJKR0oX9Ho9v+0chNo6jmvXrqLRaJSOJIQQBkuu3oQwEMWKFaNr164EbwkmPiJe6TjCAFgXs8bYxRhtnJZRo0ZRrlxZrl69qnQskUEkJCTwxx9/ULBAAU4cOsTf3buxtkvnNFVwA7hmycLtMSMxN1bz287B3Hsq/4aSw1W/k/g+ucKsWTOl4BZCiE+QolsIAzJ+/HjMNGY83/Rc6SjCALy+85rX115TpX05flzfi8ehAZQoUYKffvqJ169fKx1PpGP79u2jeLGidOvWjbp5cnNj5M98V6K40rG+WHY7O3zHjsLaRMPcnUO4/fii0pHStFhtNJvOzKd2rdrUqVNH6ThCCGHwpOgWwoA4ODgwbuw4Qo+GEu0frXQcoSCdTsejeY+wsbfm28F1yO3lzrAd/anvXYNZv84ibz5Pli9fTkJCgtJRRTpy48YN6tapQ+3atbGNjeXc0CH82akjDtbWSkf7ao42Ntz9ZTSZLMxYsHs4NwLOKh0pzdp+bilR2kgW/L5A6ShCCJEmSNEthIHp3bs3nnk9eb72uaxcnYEFrgwkPiKedpO+w8zKDACNiYZ6faszau8PZC1sT6dOnShesjj79+9XOK1I6549e0bPHj0oUqQIdy9fZmOPbhz7YSBebm5KR0tWma2suPfLGBysLFm4ZyRX/U4qHSnN8Xt2i6M3NjN+/Djc3d2VjiOEEGmCLKQmhAHat28ftWvXJmfvnNiWlhVhM5qYJzE8GPWAEvWK0HVOmw8+78ElfzZN3MW9iw+pVasW06ZNo0iRIqmYVKR10dHRzJo1i8mTJqEBRtWtQ+/KlTBJ53N0o+LiyDt6LE/CX9Kp+ghK5KqsdKQ0IT5By7QtvciaMxNnz52VudxCCJFEUnQLYaAaNmrIgdMH8JjggdpUBqVkJL4/3sEozohfDg3BOsvHF63S6/Vc3nOdrVP38Nw/mA4dOjB+/HicnZ1TKa1Ii3Q6HWvXrmXY0KEEBQXRp1IlRtavS2ZLS6WjpZqYuDjyjx2Hf0go31f9idKeNZWOZPD2XFrN7ksruHDhAsWKFVM6jhBCpBlyJS+EgZo1cxYJEQk83yKLqmUkzzY/Iy5YS8vRjT9ZcAOoVCpK1C3MyL0DaTGqERu3/k3uPLkZOXIk4eHhKR9YpDnHjx/nmzJlaNeuHV4ODtwcNYJZLZplqIIbwMzEhDtjR5Pb0YGVhydz+vZupSMZtKCwAPZc/pPBgwdLwS2EEJ9JerqFMGBTpkxh6LCheAz3wCKPhdJxRAqLC4vj/pD75CnjwYCVXVGpVJ99juiIaPb8foTDy05gYmxKr5698Pb2Jnv27CmQWKQl586dY9LEiWzZupVSbm7M+K4JlfLkUTqW4uLj4yk6YSI3A4NoWWEAFQs2UjqSwdHpdczZMQid2WuuX7+Gubm50pGEECJNkaJbCAOWkJBA2fJluR5wHfcx7jLMPJ27O+IuCS8SGHPgR+xzZP6qc718HsGhZSc4tuoMCXEJtG/fgSFDhpBHiqwMRafTsWvXLqZNncqx48fJky0ro+rWoY2XF2q1fJ78S6fTUXLiZHweP+a7sr2pWuQ7pSMZlBM3d/DX8VkcOnSIqlWrKh1HCCHSHCm6hTBwd+7coUjRIlhXssaprZPScUQKCT0cytMVT2k+siHVO1dMtvNGRURzbPUZDi87SURwJE2/a8rQn4ZSqlSpZGtDGJ7Y2FhWr17N9KlTuXXnDt/k8mBIjRo0KloEIym230un01Fu2nTOPvSjcZmu1CzWWulIBiH8dTATN3SmVduWLFmyROk4QgiRJknRLUQaMGvWLH744Qfch7pjmS9jzbvMCOKj4rk78C7OebIxdEs/1EbJXxRpY7Wc3niRAwuP8TwgmGrVqzFs6DCqV6/+RcPYhWEKDg5m0qRJLFuyhLCXL2lYpAhDatWgfK5c8nNOAp1OR7VZszl69x71SnagbsnvM/z7tnj/aAIjfbl95zaZMmVSOo4QQqRJUnQLkQbodDoqVq7IZd/LuP3ihpGZkdKRRDJ6MOkBMXejGb7Dmxz5U3Y0Q0J8Apf3XGP/78fwv/GYPHnz0K1LN9q3b0/WrFlTtG2Rci5dusRvv/3G2tWridNq0QMbe3SjafHiSkdLk2rP+Y19N29Rq1hrGpbukmELb58Hx/lj/xjWr19P8+bNlY4jhBBplowxEyINUKvVrFy+En2knmfrnykdRySjl5deEu0bTZ3e1VK84AYw0hhRqkExhm7vh/fq7th5WjJ8xHBy5MhB0++asmvXLhISElI8h/h6ISEhzJ07l5LFi1OyZEn2/vUXfWztOOCRCxMjI3Zeu6F0xDRrb/9+NC5ShH0+a9l0egEZsX8iKvYVf5+eS8OGDWnWrJnScYQQIk2Tnm4h0pB58+bRt29f3Aa7YVXw09tJCcOmi9fh29+XTA62jNr7A8amxorkeBX2mnNbLnN6w0Ue3XpC9hzZ6dyxM507d8bd3V2RTOL9tFote/bsYfmyZWzfvh29TkclS0u+tbahipUVmn96ZLs9esS52BgeT5qIo421wqnTrhaL/2DDxUtUKNCQFhX6o1ZlnL6KtcdmciXgGLdu3yRHjhxKxxFCiDRNim4h0hCdTke1GtU4e+0s7r+4Y2Qhw8zTsoB5AUScj2DQul7kKa18cavX6wm49pgT685xcftVoiKjqVa9Gh3ad6Bhw4Yyn1Mher2eq1evsmLFClavXMnzkBDyW1rS2MKS+jY2ZNFo3jkmIC6Oen4PGdOgPiPr11MgdfrRYdkKVp49S9m8dWhd6QfU6vT/uXvv6VVmbx/IvHnz6N27t9JxhBAizZOiW4g0xt/fn4KFCmJSwgTnzs5KxxFf6PW91/hN8qNCyzK0ndBU6TjviIuO49Kua5xafwHfc/fRaDRUr16dZs2a8e2332Jvb690xHQtISGB06dPs3XrVjb//Tf3/fzIYmpKAwsLGtvYks/M7JPnaPjwAS9NTHg8aQKmxsqMokgveq5ew8LjJ/DKU4N2VYZglI4L7+jYV0zZ3BPPAu4cP3FctpYTQohkIEW3EGnQH3/8Qbdu3XAd6Ip1URk6mtbodDp8vX2xMDVn7IEfMbcxVzrSR4UFvcRn73V89tzg7rkHqFQqypUvR+NGjWnYsCGenp5KR0wXoqOj2b9/P1u3bmX7li28CA3F3tSUqmZmVLOyppylJcafsaDX0chIej19woqO7Wn/zTcpmDxjGLh+A7MPHaa4R2U6VhuOkdG7IwzSOr1ez4pDE7kTdIErV31keokQQiQTKbqFSIP0ej116tbh6PmjeIzzwMgy/fa6pEdP/3xK6MFQei3qQNGaBZWO81kigl9xZd91rh28ze1Td4mL0ZLbMzeNGjSiatWqlC9fXoahJ5Fer+fmzZscOXKE/Xv3sm/fPqJjY/GwsKCamRnVrawpbGaG+itWzq54/x7OWbPiM2J4hl2BOzkN27yFKXv3U8j1GzrXHIWxkYnSkZLVWd99/Hl4CmvWrKF1a9mnXAghkosU3UKkUY8fP6ZAwQJoCmlw7i7DzNOKmMAYHox8QLGaBek+/3ul43yVuOg4bp24y9WDt7h19C6hQWGoVCoKFS5ElcpVqFSpEhUrVpStyP6h0+kSi+wjhw9z9PBhgsPCMFarKWJhQRUzc6pZW+FuYppsbS4KCWF28AuODhpIpTx5ku28GdnY7TsZu2sX+XKUolutsZhoku/npaQXL58wZXNPWrZszvIVy5WOI4QQ6YoU3UKkYStXrqRDhw649HPBpqSN0nFEEvgO9kUdreKXQ0OwcUg/UwP0ej3Bj0K5e+4h984/5P45f575PQcgd57ciUX4N998g4eHB0ZG6X90Rnh4OJcuXeLixYucOX2aY0eOvFVke5ma4mVuQTFzc8xTaN6sTqfD68F9ahYqyNZePVOkjYxo8p69DN+6nTzZi9Kj9jhMjQ17isinxCdombV9AEaW8fj4XMbaOv18NgkhhCGQoluINEyv19OocSP2HdmH22g3TOzT11DH9Ob59uc83/ic9lObU665l9JxUlz4s5fcO/+Qu2cfcv+8P4/vPAXAzNyM/PnzU6RwEQoVKkShQoUoXLgw2bNnT5NDoPV6PQEBAVy5coWrV69y9epVLp0/z30/PwDMNRoKmpklFtlFU7DIfp+fnj5lR2QE98b9goeDLICXXH49eIgf/t6Ee9YC9Ko7CTMTC6UjfbGtZxdz+NrfnDp9Ci+v9P/ZJIQQqU2KbiHSuJCQEIqVKEaYJgzXoa6oTWSlWUOkDddyb/BdcpV0Y+CaHmmyuPxar8Je8+jGU576BvH0ThCBvs956htETFQsALZ2thQsVJAihYrg4eFB9uzZcXZ2TrxZWChX1ERFReHn58eDBw/+/3b/Pvd9ffELCCAqJubNazAxwdPEhLwaYwqZmVHAzAx3ExOMFPx5h8fHU+nhA/pWqcKsFs0Uy5EeLTx2jN5r1+Pi4EmfelMwN7VSOtJnu/34IvN2/cTkyZMZMmSI0nGEECJdkqJbiHTg4sWLlCtfDquyVmTvmF3pOOI97o2+R3ygltH7fsTBNYvScQyGTqcj9Ek4T+8E8dQ3iCe+QTzzfUHw41CiIqPfeq6NrQ3Zs2cnR44c5HDOQfbs2cmUKRNWVlZYW1tjZWWFWq0mS5YsmJmZYWpqiqnpm/m2Wq32nVt8fDxarZbo6GhCQkISb8HBwW/++/w5IS9eEBISwvPQ0MQcpkZG5DAzI4dKjbPGiJzGJriZmJDX1JSsGo1BfqHSxt8fX10CgVMmYWOetodCG5qVZ87QeeVqsmd2p2/9aViapZ2pPi9fhzBlcw+8ypRg3/59sj2YEEKkECm6hUgnlixZQteuXXHu4kymirJ6tCEJPRbK06VPaTqsPrW6V1Y6TpoR8zqWl88iCH/2kvCg//43gohnkbx8HklURBQxr2PR6XQAGAEJX9ietbExdsbG2KnV2MGb/xoZkcnICCeNMTmMjclpYoy9kearVhRXws2YaJr7+zOzeTO8q1dTOk66s+78BdouW4GjnQv9G0zH2txO6UiflKBLYO6uwUTGP+PK1SvExsZSrVo1xowZQ9u2bZWOJ4QQ6YoU3UKkI126dGHFqhW4/eyGuav0ZhmChJgE7nr7ks09K8O29cNIk/4XEEtter0ebYyWx7cCmfrdPIY5OlLS3II4vZ44/ZtiXIMKjerf2///2UilwlSlwtbI6LP2wE6Laj64j9rKiocTxmEkPZrJbqvPFZotWkIWGycGNJyJjUVmpSN91PZzS9l/ZS2HDx+mUqVKxMfH06lTJ1atWkWnTp347bffsLS0VDqmEEKkC/JbV4h0ZN68eRQqWIin856S8PpL+/tEcgqYE0BCnI4O01tIwZ1CVCoVJuYmqNRvimY3ExMKmJlRzNyc0haWlLawpISFBUXMzSlgZoanqRkepqa4mJjgbGyMvUaT7gtugL5ZsvAoLIxtV64qHSVdalysKNt69yAkMpCZWwcQ9uqF0pE+6GbAOfZeXs348eOpVKkSABqNhpUrV7Js2TLWrVuHl5cX165dUzipEEKkD1J0C5GOmJmZsXnjZozjjHmy6Al6nQxkUVKkTyRRt6Ko1aMKOQvIXPuUFvXyzRxwc5X8anufxrZ22Gg0zDhwUOko6VbdQgXZ278PL18/Z+bW/oREBikd6R1hr17w59HJ1KlTh59++umtx1QqFR07duTChQtoNBpKly7NwoULyYiDIt3c3FCpVHJTqXBzc1P6xyFEmidXJkKkM+7u7vy15i8ir0byYrvh9rSkd7p4HU8WPyGzcybq96+hdJwMITriTdFtpk7/vdZf6jtra07ev8+lgAClo6Rb1fLm5fDAAbyOCWPm1gG8ePlU6UiJEhLiWX5oPNZ2Vvz5558fXDgtf/78nD17lo4dO9KzZ09atmzJy5cvUzmtsvz9/dHr9XLT6/H391f6xyFEmidFtxDpUN26dRk9ejTPtzwn8lqk0nEypCeLnxD/Op72U5thYmasdJwMITryzbZdptLT/UH97B0wNTJi1sFDSkdJ18rnzsXJH38gJjaCmVv78yz8kdKRANh8ZiH+z2+zYcN67O0/vme7ubk5CxYsYP369ezdu5fixYtz7ty5VEoqhBDpi1yZCJFOjRw5ktq1axO4KJC44Dil42QoUQ+iiLwQQfmWXuQtm1vpOBnGv0W3eQaYn/2lzNRqypmZ89f5CwRmsJ7L1FbKzZVzQ39EG/+amVv78zT0oaJ5jt/czpHrm5j962zKlSuX5OOaN2+Oj48PDg4OlC9fnhkzZiTuFiCEECJppOgWIp1Sq9WsWb2GrJmz8mT+E3RxcpGUGnQ6HY/mBGBha8F3wxsoHSdDiXkVC4CprMz9USMcHdEDC44eUzpKulckRw4uDf8JvS6WWVu9eRR8V5Ectx5dYMPJ3+jXrx99+vT57OPd3d05fvw43t7e/PjjjzRs2JDg4OAUSCqEEOmTXJkIkY5lzpyZLZu2oH2iJWiN4S3okx49++sZ2vB42k5oioWNbNuWmqJfSU93UjiZmJBbY8zcI0eJjpNRMCktv5MTV0cOR62KZ/a2H/B/fjtV2w8M82PZwV+oVasmM2fO/OLzmJiYMG3aNHbu3Mm5c+coWrQoR48eTcakhq9hw4bUqPH+NTpOnz6NSqXi0qVLVKlS5aMLkyXlfbt37x7W1tbY2dl98rmNGjXCxcUFMzMznJyc+P7773n69P/XEggNDaVhw4ZYWVlRokQJrly58tbxvXv3ZsaMGZ9sRwjx5aToFiKdK1GiBAvmLyD0SChhx8OUjpOuxT6LJexQGEVrFqR4ncJKx8lwYqPeFJDS0/1pQxwdCYuKYs3580pHyRByOThwc/QITIz0/Lp9EPeDrqdKu5HR4SzaNxK3XG6sW7cOjUbz1eesV68ePj4+5MmTh2rVqjF27FgSEjLGFpVdunTh0KFD711YbOnSpRQrVowSJUqwadMmAgMD37r5+/tTqFAhSpUqRZkyZT7ajlarpXXr1lSsWDFJuapWrcr69eu5c+cOGzdu5P79+zRr1izx8QkTJhAZGcmlS5eoXLkyXbt2TXzs9OnTnDt3Dm9v76S9CUKILyJXJkJkAJ07d6ZLly4E/RlE1L0opeOkW/4z/TE20dB63LdKR8mQ4qLiUEOG2HP7a5W1tMRBo2HG/oMZcjsoJbhkzsztMSOxMDFi7o7B+D71SdH2tPFx/LF/NCrjeHbt2omNjU2yndvZ2ZmDBw8ycuRIfvnlF2rUqPFWz2p61aBBAxwdHVm+fPlb90dFRbFu3Tq6dOkCvBllli1btrdu48aN48WLF2zevBkzM7OPtjNixAjy5ctHixYtkpRr4MCBfPPNN7i6ulKuXDmGDh3KmTNn0Gq1ANy6dYtWrVrh6elJ9+7duXnzJvCmuO/Vqxe///47RkZGn/luCCE+hxTdQmQQc+fOpbRXaR7PeUzss1il46Q7L3a9IO5ZHM1GNMQuq63ScTKk2KhYTKXgTrJOmTJxKyiIg7fvKB0lw8huZ8fdX0ZjY2bC/J1DufX4Qoq0o9frWX1sOo9D77Ft+zZcXV2TvQ0jIyPGjBnDwYMH8fX1pWjRouzevTvZ2zEkGo2G9u3bs3z58re+rNqwYQNxcXG0bdv2vcfNnz+flStXsmnTJnLkyPHRNg4dOsSGDRuYN2/eF2UMDQ1l9erVlCtXDmPjNztnFC1alEOHDhEfH8/evXspUqQIAFOmTKFKlSqUKlXqi9oSQiSdFN1CZBBmZmZs37qdnFlz8njWY+Ij45WOlG7ER8YTvCWY3F7ulG/ppXScDCsuWitDyz9De7tMWBgZMfPgQaWjZCj2VlbcGzeGzJZm/L77Z677n0n2NvZc+pMLdw+ycuWKTw5l/lpVqlTBx8cHLy8v6tWrx+DBg4lLx2sFdO7cGT8/P44cOZJ439KlS2natCmZMmV65/nHjh3D29ubefPmfXLV+JCQEDp27Mjy5cs/e2TCTz/9hKWlJVmyZCEgIICtW7cmPjZ06FA0Gg25cuVi8+bNLFmyhLt377Jy5UpGjhxJz5498fDwoEWLFhluP3YhUotKL+PKhMhQHjx4gFcZL+IyxeEy2AW1iRQpX+v+2PvEPY5j1J4fyOrhoHScDGtK07lEXwvkUK5cSkdJM0YGPmVjRAR3xo7GM2tWpeNkKJHR0eQd8wvPIl7RpeYoirpXSJbzXrh3iOUHJzBu3DhGjBiRLOdMCp1Ox8yZMxk2bBiZM2fGysoq1dpOLvny5WPnzp0AqFSqD069KF++PB4eHvz555/cv3+fPHnysG/fvncWWQsICKBUqVK0aNGCuXPnfrL9pk2b4unpyeTJkwFYvnw53t7ehIeHf/LY4OBgQkND8ff3Z+zYsdja2rJjxw5UHxj9U61aNQYMGIC/vz87duxg586ddOvWjSxZsryzqNrH3gshRNJI0S1EBnTu3DkqVa6EWWEzcvTKgUotQ3K/VPipcB4vesy3Q+pSp1dVpeNkaOPrz0ZzL5hd7h5KR0kzIuLjqfjwAd0qVmBe61ZKx8lwouLiyDd6LI/Dw+lY7WdK5v66z5AHQTf4beePtGzVkpUrV3yw4EpJFy5cYNOmTWmySMuVK1fiImMfKzSXLl1K3759CQoKYurUqaxevZoHDx689X5HR0dToUIFbGxs2L9/f5IWsbOzs+PVq1eJf9br9eh0OoyMjFi0aBGdO3dO0ut4/PgxOXPm5NSpU5QtW/a9+Xfs2MGmTZto2rQpNWrUoHfv3uzcuZNRo0Zx8eLFt54vRbcQX+/rl7EUQqQ5pUuXZt1f62jSpAlB64NwauWkdKQ0SRejI2hlINk9s1GzayWl42R42hgt1jK8/LPYaDQUMzVl6clTjG/UiEyWFkpHylAsTEzwHTuagr+MZ/nBCcTrtJTxrPVF5wqJDOKPA6MpXdqLP/5YrEjBDVCqVKl0P0e4RYsWDBgwgDVr1rBixQq6dev2zvvdtWtXQkND2bt3b5JXjT99+vRbK8Fv3bqVKVOmcOrUKZydnZOc798COTb23fVbXrx4wbhx4zhx4gQACQkJiQuuabXaDLMSvRCpTa5OhMigGjduzK+//krInhBC9ocoHSdNCpgXQEKsjg7TmmNkLCu/Ki0+Lh5zlfxa+1w/O2YlLiGBP06eVDpKhmRmYsKtMaPwzOrIn4encOrWzs8+R3TsKxbuG0FmBzu2bN2CqalpCiQV/7KysqJly5YMHz6cp0+f0rFjx7cenzZtGhs2bOD3338nPj6eoKCgt27R0dHvPW/+/PkpVKhQ4s3Z2Rm1Wk2hQoUS54ufO3eOfPny8eTJk8Q/z507Fx8fH/z9/Tl8+DBt2rQhV65c7+3lHjBgAIMGDUos4suXL8+ff/7JrVu3WLRoEeXLl0/Gd0oI8S+5OhEiA+vXrx+DBg0icE0g4WfClY6TpkRej+T1jddU71IR1yI5lY4jgHhtAuYyVeKzeZqZkUOjYdbBQ8RLL5ciTDQaro/8mcLZs7Pm2EyOXt+S5GMTdAksOzSBV7Eh7N69C3t7+5QLKhJ16dKFsLAwatSogYuLy1uPzZ8/H61WS506dXBycnrntm7dui9uNyoqijt37iT2Tpubm7Np0yaqV69O3rx56dy5M4UKFeLo0aPvfPmyd+9e7t+/T+/evRPv69u3Lx4eHpQpU4a4uDhGjx79xdmEEB8mc7qFyIAiIyPp27cvTZo0oVGjRnTo0IE1f60hp3dOrAtZKx3P4Ol0Onz7+2Jja8WY/T9iYm6idCQBDC4xlm+0Kn51/viWPOJduyMiGBT4lHVdu9CiVEml42RYOp2O0pOncjEggCZle1K9SPOPP1+vY/WRaVy4f5A9e/a8s5CX+HIyj/n/yXshxNeTnm4hMpigoCAqV67Mli1byJkzJ2q1mqVLl1KrZi2ezH1C1IMopSMavCdLnhD/Kp7vJzeXgtuA6OITMJXh5V+kro0NdhoNMw7I9mFKUqvVnBs6hLIe7mw+/Tt7L63+4HP1ej1/n5zLubv7+fPPP6XgFkIIAyZXJ0JkIL6+vpQtW5Znz55x/PhxSpZ806NlbGzMxr83UrJ4SR7Pekzs03cXXxFvRPtHE3kmkrLflSR/hTxKxxH/oY/XyfDyr9DCxoZzfn6cffhQ6SgZmlqt5sSPg6ia15Pt55ey4/yy9/Yybju3hGM3trJw4UJat26tQFIhhBBJJUW3EBnE2bNnKVeuHObm5pw+fZoiRYq89biFhQW7duzCI6cHj2Y+QhuqVSipYQuYHYC5tRnNRjRUOor4H7oEHWayevkX65PFHlMjI2YdPKR0lAxPrVZzaKA3dQoWYM+lVWw9u/itwnvvpdXs91nLzJkz6datm4JJhRBCJIVcnRgoNzc3VCqV3D5wc3NzU/pHlKbs2LGDqlWrki9fPk6cOPHOoi//ypw5Mwf2HSCLeRYezXhEfGR8Kic1bIHrAtGGaWk9rgmWdrK1kqHR6/SYKrRNUnpgrFZTydycDRcv8TgsTOk4Atjdry9NihXlwJV1bDw1H71ez5Frm9h+filjx45l4MCBSkcUQgiRBFJ0Gyh/f3/0er3cPnDz9/dX+keUZvzxxx80btyYOnXqsH//fjJnzvzR5zs7O3PowCHMYs14NO0R8RFSeAPEvYgjbH8Yhavlp2T9Ip8+QKQ6nU4nW4Z9pZ+zZkWlUjH3yFGlo4h/bOrZg9ZepThyfRNzdvzI36fm8eOPPzJy5EilowkhhEgiuToRIp3S6/WMHTuWbt260bNnTzZs2IC5uXmSjvX09OT40eOYx5gTMDUAbbgMNfef6Y/G2Ig245ugkt5Ug6TT6zGVOd1fxVFjTF5jYxYcPcbrWFnbwVCs6dKZirlzcfepD23btmXq1KnyOSSEEGmIFN1CpEPx8fH06NGDMWPGMGHCBObOnYuRkdFnnaNAgQKcOHYC6wRrHk15hDYs4xbewfuCiQ2M5bvhDcjkZKd0HPEBOj3S050Mhjk6EhkTw59nzyodRfxj3YULnHzwkA4dOrBy5UopuFOBq6ur4lPpDOXm6uqq9I9DiDRPrk6ESGeioqJo2rQpS5cuZdmyZQwfPvyLL9Dy5s3LiWMnsDOyI2ByAHEhccmc1vDFv4rnxd8v8CjhSsU2ZZSOIz4gLioOPWAmPd1fraSFJY7GxkzffxCdTqd0nAxvw8VLtF26nLZt2rBkyRLUslhgqvDz81N8Kp2h3Pz8/JT+cQiR5skntxDpSHBwMNWrV+fQoUPs2LGDjh07fvU5c+fOzYljJ7A3s+fRlEfEvchYhbf/bH/0Oj3tpzaXi10D9vrlm/3lzaSnO1l0z5SZ+y9esPfmLaWjZGibLl+m9ZKltGzZkmXLl3/2iCUhhBCGQa5O0pCOHTvy7bffJv7/v8N+jI2N8fDw4Mcff+T169fAm29oVSoVGo2GJ0+evHWewMBANBoNKpXqo99evnr1ir59+5IjRw7Mzc3Jnz8/CxYs+GTO8PBw+vTpg5OTE2ZmZuTPn59du3YlPr569Wpy5sxJ5syZGTx48FvH+vn54enpSURERBLfFfEvPz8/ypcvz/379zly5Ah16tRJtnO7u7tz4tgJslplJWBKALHPM8Zcz/Bz4UTfj6ZB/5pky+WodBzxEVEvowHp6U4uLW1tsdRomHngoNJRMqy/L16i5R9LadasGStWrpSCWwgh0jAputOwOnXqEBgYyIMHDxg/fjzz58/nxx9/fOs52bNnZ+XKlW/dt2LFCpydnT95/oEDB7Jnzx5WrVrFrVu3GDhwIP369WPr1q0fPCYuLo6aNWvi5+fH33//zZ07d1i8eHFie8HBwXTt2pXp06ezd+9eVqxYwc6dOxOP79WrF5MnT8bGxuZz3ooM7/Lly5QtW5aEhAROnz5NqVKlkr0NFxcXThw7gXMmZwImBxAbmL4Lb12cjqBlgWTL5UitHpWVjiM+4fW/Rbf0dCcLtVpNQysrDty+zY2nT5WOk+EsOXmSlkuW0rx5c1atXo1Go1E6khBCiK8gVydpmKmpKdmyZSNnzpy0adOGtm3bsmXLlree06FDB5YtW/bWfcuXL6dDhw6fPP/p06fp0KEDVapUwc3Nje7du1O0aFEuXLjwwWOWLl1KaGgoW7ZsoXz58ri6ulKhQgWKFi0KwIMHD7C1taVly5Z4eXlRtWpVbt68CcCaNWswMTGhadOmn/lOZGwHDhygcuXK5MiRg1OnTpErV64Ua8vZ2ZkTx07gltWNgKkBxDyJSbG2lPZo3iPiYxLoMLUFGhO54DV0Uf8OL5ee7mQzyMEREyMjZh86rHSUDGXmgYN0/XM1Pbp3l4JbCCHSCSm60xFzc3O02rdXmG7UqBFhYWGcOHECgBMnThAaGkrDhg0/eb4KFSqwbds2njx5gl6v5/Dhw/j6+lK7du0PHrNt2zbKli1Lnz59yJo1K4UKFWLixIkkJCQAkCdPHqKiorh8+TKhoaGcP3+eIkWKEBoayqhRo5g7d+5XvAMZz+rVq6lXrx4VKlTg8OHDODqm/BDobNmycezIMXI55+LR1EfEPEp/hferW694de0V1TpWwL24i9JxRBLERL75eyg93cnHUq2mpKkpK0+fIfjVK6XjpHt6vZ6R27Yz6O+NDBs2jHnz58s6EkIIkU7I16fpxLlz51izZg3Vq1d/635jY2PatWvH0qVLqVChAkuXLqVdu3YYGxt/8pxz5syhW7du5MiRA41Gg1qt5o8//qBChQofPObBgwccOnSItm3bsmvXLu7evUufPn2Ij49n1KhRZMqUiRUrVtC+fXuio6Np3749tWvXpnPnzvTr14+HDx/SqFEjtFotY8aMoVmzZh/NqNfrCQgISCzqM5INGzYwdOhQOnXqxMKFC5P0M00ujo6OHDtyjGo1qnF76m1y/pgTc9ek7QFu6HQ6HU/mP8bW0YZGgz78BZMwLNH/FN3mUqQkqxGOWWno78fCY8f5uV5dpeOkWzqdjgHrNzD3yFGmTJnCkCFDlI4khBAiGUnRnYbt2LEDKysr4uPj0Wq1NG7cmN9+++2d53Xp0oWyZcsyceJENmzYwOnTp4mPj//k+efMmcOZM2fYtm0brq6uHDt2jN69e+Pk5ESNGjXee4xOp8PR0ZFFixZhZGREyZIlefr0KdOmTWPUqFEANGnShCZNmiQec+TIEa5du8bcuXPJnTs3a9euJVu2bJQuXZpKlSp9tPd2w4YNtGzZ8pOvJb36+eefGTdunCJ7tmbJkoUjh45Qo1YNrk29Rs5BObHwsEj1HMnt6fKnaCPj+f63ZphZmiodRyRRdOSbNQZMZf/iZOVuaoqbsTG/Hj7M4Fo1MZGhzskuPiGBzn+uYtXZcyxcuJDu3bsrHUkIIUQyk9+eaVjVqlVZsGABxsbGZM+e/YM9nYUKFSJfvny0bt2a/PnzU6hQIXx8fD567ujoaIYPH87mzZupX78+AEWKFMHHx4fp06d/sOh2cnLC2Nj4rVVW8+fPT1BQEHFxcZiYmLz1/NjYWHr37s2qVau4d+8e8fHxVK78ZtEqT09Pzp49+9Gh8E2bNuXo0aMZsqc7U6ZMFCtWTPEMhw4coladWlyefpkcA3JgmddS0UxfI+ZRDBEnIyjduDgFK+dVOo74DDGv3xTd0tOd/H6wd6Dv0ydv9osuU1rpOOlKjFZLqz+WsvPGDdauXZuhv0QWQoj0TIruNMzS0pLcuXMn6bmdO3emd+/eSdryC0Cr1aLVat+ZT2ZkZIROp/vgceXLl2fNmjXodLrEY319fXFycnqn4AYYN24cdevWpUSJEly+fPmtHnitVvvJYlqj0VCpUqUkvSaRMmxtbTmw7wANGjXgxPQTZO+UHbtydkrH+iIBs/0xszKlxahGSkcRnynm9b9zuqWnO7lVs7Ymk0bD9P0HaFPaS5GRNelRZEwM3/6+iNN+fmzbto26dWX4vhBCpFfSJZBBdOvWjRcvXtC1a9ckPd/GxobKlSszePBgjhw5wsOHD1m+fDkrV658a2h4+/btGTZsWOKfe/XqRUhICAMGDMDX15edO3cyceJE+vTp804bN27cYN26dfzyyy8A5MuXD7VazZIlS9i5cye3b9/Gy8vrK1+5SA3W1tbs37uf9m3b83jRY55tfoZer1c61mcJ2hhEXIiWVmO/xSpz2u2tz6hiX8cBMrw8pbSztcPn8WNO3r+vdJR04XlEJDV+/Y0LT56wd98+KbiFECKdk57uNESn033x1iEajQZ7e/vPOuavv/5i2LBhtG3bltDQUFxdXZkwYQI9e/ZMfE5AQMBbveE5c+Zk3759DBw4kCJFiuDs7MyAAQP46aef3jq3Xq+ne/fuzJo1C0vLNwWOubk5y5cvp0+fPsTGxjJ37twk7ScuDIOJiQlLly4lb968DBs2DO0zLdk7Z0dtYvjf7cWFxhG2J4wClTzxalRM6TjiC8RGxWGiUkkvbArpljkzf4SHMfPgISokcYSVeL+bTwOpv2AB0So1h48coUSJEkpHEkIIkcJU+rTWHZVBqFSqd3oK69SpQ+7cuWVbLd7//gjDsWHDBtp93w4TFxNy9MuBxsawv9+7+/NddMEJjDkwmCw5MikdR3yBOR3+4NGJe5zN46l0lHTrx6dP2P3qFffHjcX9M7/EFW/su3mT5n8sxdXDgx07d+LiIlsSCiFERmD4XVCCsLAwdu7cyZEjRz64gJkQhqR58+YcO3oM03BT/Mf7E/PUcPfyDjkUQuyTWJoOrS8FdxoWF6PFVBZRS1HDHbNipFIx98hRpaOkSQuOHqPe3PlUrFKFk6dOScEthBAZiFyhpAGdO3emR48eDBo0iMaNGysdR4gkKVOmDBfOXcDV3hX/Cf68uvlK6UjviH8dz/N1z3ErmpPK35dVOo74CtoYrSyilsIyazQUNDFh4bHjRMYY7hdphiZBp2Pg+r/pvfYv+vbrx9Zt27C2tlY6lhBCiFQkRXcasHnzZh4/fsyECRNkvqJIU9zc3Dhz6gyVy1UmYEYAoUdDlY70loBfA9DH62k/tTlqI/k4TMu0MVrMpKc7xQ13zEpUXBzLTp1WOkqa8GaF8oX8dvQo8+bNY/bs2W9tqSmEECJjkCsUIUSKsrW1Zfeu3XTr2o2ny54StD4IvU75+fgvz78k6m4UdftWI7tnNqXjiK8UHxcve3SngsLm5jgZGzPz4EESPrJ9pIBHoaFUnDGLYw/92LlzJ71791Y6khBCCIXIFYoQIsVpNBoWLFjAzJkzCdkdwuP5j9HFKnfBrovXEbgsEEc3e+r0qqZYDpF8tHEJWMhIoFTRO3MW/ENC2XntutJRDNZ5Pz9KT53OS5WKU6dPU7t2baUjCSGEUJAU3UKIVKFSqRg4cCBbtmwh9kYs/lP80YZrFcnyaMEj4qPj6TCtBcamhr2yukia+Lh4mdOdSpra2WGt0TDjwAGloxikVWfPUnnWbNzy5uXs+fMULFhQ6UhCCCEUJkW3gXJ1dUX1z56zcnv35urqqvSPSHyhRo0acfLESayirfAf70/Ug6hUbf+172teXX5F5XblyFXSLVXbFilHr9XJ8PJU1MTKmmN37+Hz6JHSUQxGjFZLz9Vr+H7ZClq0as2hw4dxdHRUOpYQQggDIFcoBsrPzw+9Xi+3D9z8/PyU/hGJr1CiRAkunLtAQfeC+E3wI3hPcKrsu67T6Xg89xE2WaxoMqROircnUo8+PgEzlfxKSy3eDg6YGBkx+9BhpaMYBL/gECrMmMnys+dYtGgRy5Ytw9zcXOlYQgghDIRcoQghFJEjRw5OnTjFQO+BBP0VxKNfHxH/Kj5F2wz6MwhtRDxtJ32HmZVZirYlUpcuQYeZWoaXpxYztZpvzMxYffYcQS9fKh1HUTuvXaPE5MmEAqdOn6Zbt26y04gQQoi3SNEthFCMiYkJ06dPZ8eOHagD1PiN9uO17+sUaSvmSQzhx8Mp1aAoRaoXSJE2hHL0CXrp6U5lPztmRa/X8/ux40pHUUSCTseIrdtoMG8BFapU5eKly5QoUULpWEIIIQyQXKEIIRRXv359rl25Ron8JfCb4sfz7c+TfVuxgFkBmJqb0GJ042Q9rzAMOp0Oc+npTlU5TUzwMDbmtyNHidEqsyiiUp5HRFJrzlwm7d3HpEmT2LJ1K5kyZVI6lhBCCAMlRbcQwiDkyJGDo4eP8vOwn3mx6QWPZj4i/mXyDDd/vvU5ccFxtBzdGBt7q2Q5pzAsOp0eU+npTnWDHR0Jff2atecvKB0l1Zy8d5/ikyZzPSSEAwcOMHToUNSyiJ8QQoiPkN8SQgiDodFoGDduHPv27cPkuQkPRz/k1c1XX3VObZiWkB0h5CuXmzJNZehneqXT66WnWwEVLK2w12iYsf9AqiyGqCSdTseM/QeoMms2HgUKcNnHh6pVqyodSwghRBogRbcQwuDUqFGDa1euUa5EOfym+fFs0zP0CV92Qe8/yx+VWkW7yc1kcaN0SqfToQOZ062QDnaZuBEYyBFfX6WjpJgnYeHU/m0eP27chPfAgRw6fJjs2bMrHUsIIUQaIVcoQgiDlC1bNvbv28/4ceMJ2RFCwLQAtGGfN2809EgoMQExfDu4DvY5M6dQUqG0qIgYAEzlSxVFdMqUCQsjI2YcOKh0lBSx8dJlikyYyI2wMPbt28e0adMwNjZWOpYQQog0RIpuIYTBMjIy4ueff+bIkSNYRljycNRDIq9EJunYhJgEnq19hkshZ6p1rJDCSYWSol9GAWAu82oVoVarqWVpya5r17n77LnScZJNZEwMnVf+SbNFi6lSsybXrl+nZs2aSscSQgiRBskVihDC4FWsWJFrV65RvWJ1/Gf5E7gmEF2s7qPHBPwagE6ro/2U5qiN5KMuPXsd/qboln26lTPUwRGNWs1vR44oHSVZHL97j6ITJrHhylWWLl3K3xs3kiVLFqVjCSGESKPkSlQIkSbY29uzY/sOZs6cSeTRSB6OfsjrO+/f0zvicgRRt6Oo3bMqOQrIvMv0Lurlm+HlMqdbOTYaDUVMTfnjxEnCo6KUjvPFYrRafvx7I5VnzsLZ0xOfK1fo1KmTrAchhBDiq8gVihAizVCr1QwcOJCrV65SxL0IDyc95OmfT0mISUh8ji5ex9PFT7HPmZn6/asrmFakluiIaADMpDBS1M+OWYmJj2fJyVNKR/kiF/z9KTFpCr8dO87UqVM5cvQoHh4eNG7cmLNnzyodTwghRBomRbcQIs3JmzcvJ4+f5NdffyXqVBQPRz7k1Y03W4s9XviY+Kh42k9tjrGpLHaUEURF/tPTLXO6FZXPzIwcGg2zDh4iPiHh0wcYiBitlpHbtvPNlGmYZ83KpUuX+PHHHzEyMkKlUhESEkKbNm2IjEzaehJCCCHE/5IrFCFEmmRkZET//v25fu06mDiuqAAAJNxJREFUpQuUxm+aHwFzA3h1KZKKrcuQp4yH0hFFKomJlJ5uQ9HP3p4n4eFs8bmidJQkOXj7NoXHT2TK/gOMGDmSM2fPUrBgwbees2LFCp49e8agQYMUSimEECKtk6JbCJGm5cqVi8OHDvP7778TczUGXYIe9+Iu6PVftq+3SHuiX8UC0tNtCBrY2GKr0TDjoGFvH/YiMpL2y1dQY/Ycsnt6cvXqVcaMGfPercBy5crFrFmzWLx4Mdu3b1cgrRBCiLROrlCEEGmeWq2mR48eXL58mXr16rFyyAZ+77aC0CdhSkcTqSDm36JberoNQnNrG848eMh5Pz+lo7xDp9Ox5ORJ8o0dx847vixdupQjR4+SL1++jx7XtWtXGjRoQNeuXXn+PP1siyaEECJ1SNEthEg3ChQowI4dO9i4cSPPb4XyS62ZHFhyjIT4tDO/VHy+2Kg4QHq6DUVfe3tMjYyYdfCQ0lHeciswkCqzfqXrn6tp0KQJt+/cSfLK5CqVij/++AOdTkf37t1lJI0QQojPIlcoQoh0RaVS0bRpU27fukO3Lt3ZOGEnU7+dh//VR0pHEykkNioWNWAsPd0GwUStpoKZOesvXuRJWLjScYjRahm1bTtFJ0wiSKfj4MGDrFi5EgcHh886T9asWVm0aBFbt25l+fLlKRNWCCFEuiRFtxAiXbKxsWHOnDmcOXMGG00mpjSZx9pRW3gV+v69vUXaFRsVh4kU3Abl56yOgIr5R48qmmP/zVsUHj+RyfsPMGz4cK5ev061atW++HxNmjShU6dO9O/fn4cPHyZjUiGEEOmZFN1CiHStdOnSXLpwialTp3Jp6zVGVZnK3t8PExejVTqaSCZx0VoZWm5gshmb4GlszLyjx4iKi0v19m8FBtJg3gJqzfktcaG0sWPHYmZm9tXnnj17Nvb29rRv356ENLQ1mvg8bm5uqFQquf1zc3NzU/pHIkSaJlcpQoh0T6PRMGjQIO7fu0+Xjl3ZPmM/Y6tP58ymi+h0OqXjia+kjYnDTCW/zgzNUAdHIqKjWXX2XKq1+SIykj5r/6LwuAncjIxg/fr1SVoo7XPY2NiwcuVKTp48yfTp05PtvMKw+Pv7o9fr5fbPzd/fX+kfiRBpmlylCCEyDAcHB+bMmcPNmzep9E0Vlg9ax5RGc7l98q7S0cRXiIuJx1Qtw8sNjZelJQ7GxszYfyDFFx6L0WqZuncfuUePZfVlHyZPmcKt23do3rx5khZK+1wVK1Zk8ODBjBw5kitX0sae5EIIIZQjRbcQIsPJkycPmzZu4sSJE2SzdmZ2u8XM7bSUJ3eClI4mvkB8rBZzGV5ukLraZcL3+XP23byVIufX6/X8df4C+caO4+ftO+jQpQv37t/nxx9/xNTUNEXa/Ncvv/xC/vz5adeuHTExMSnalhBCiLRNrlKEEBlW+fLlOX3qNBs2bOD1o1gm1JvNnz9tIPzZS6Wjic+gjU3AQoaXG6Q2dnZYajTMPHgw2c996v59yk6bQeslSylatizXr19nzpw52NvbJ3tb72NqasqqVavw9fVlxIgRqdKmEEKItEmuUoQQGZpKpaJZs2bcvnmbWbNmcevgfUZXnc62mXuJeSW9V2lBvDYec1m93CCp1WrqW1qy7+YtbgUGJss57wQ9o8XiPyg/bQZaW1sOHz7M1m3byJs3b7Kc/3MULlyYCRMmMHPmTI4cOZLq7YvU17Fjx7cWGMuSJQt16tTh6tWr731+9+7/196dh8d47/8ff04SWSQSKZFFySIbEkTIObS2xq4ox6k6avlpTym1tZzqqbZ+VdqqrapUNUVrqbUppegJKa21Gqch1iIqoqVIZJ1kZr5/aOdIiZ3J8Hpc132Nue/Pfd/vuduLec/7szyDo6Mjn3322XXfY+7cudSpUwdXV1f8/Px47rnnSm179uxZBg8eTEREBOXLl6d69eoMGTKErKz//XhcWFhIr1698PT0JCIigg0bNpS4xoQJExg8ePB1xyciN05Jt4gI4OzszJAhQ/jp8E8MHTyUpA8389ojE9m0cBumYs1QXJaZjCbcNKa7zBrpU4Vyjo68u2HjLV1n/6lTPPnxXGq9Ppatp04xb948dn7/Pc2bN789gd6k4cOH07RpU/r06VMi0ZF7V9u2bcnMzCQzM5OkpCScnJx49NFHL2uXl5fH4sWLGTlyJAkJCdd17cmTJ/Pyyy8zatQo9u7dS1JSEm3atCm1/cmTJzl58iQTJ04kNTWVuXPnsnbtWp566ilrmw8//JBdu3axdetW/vnPf9KjRw/rPAtHjx7lo48+Yty4cTf4FETkRhgsd3p2ExERO5Sens7Lo19mwfwF+If60u65R4jtUAdHJ0dbhyZ/8kKdV2mBMxMCAmwdipSi3/HjpBQZyXhrPJU8PG7o3H2ZmYxd8xWffb+LqgH+/Pvl0fTr1++Oj9m+Eenp6URHR9OlSxfmzZtn63DkNjAYDFecALBv376cP3+exMRE677NmzfTtGlTfv31V3x8fKz7582bxwcffMDatWvx9/cnLS3tqktvnTt3jqpVq7Jq1Sri4+NvOvalS5fy5JNPkpubi5OTEwMHDsTT05O33nqL/Px8ypcvb421bdu29O/fny5dulz1mqU9DxG5Pqp0i4hcQWBgIPM/nc+uXbuIDqnLx8MWMeaRiSR/ukVrfJcxlmIzrqp0l2kv+/pSZDIx+9vvrvuctJOZ9Ej4mNqvv8G3maeYMWMGh386wrPPPlumEm64+PfF9OnT+eSTT1i+fLmtw5G7KCcnhwULFhAaGkqlSpVKHEtISODJJ5/Ey8uL9u3bM2fOnKte6+uvv8ZsNpORkUHNmjV58MEHefzxx/n5559vKKasrCw8PT1xcnICoG7dunz77bfk5+ezbt06/P39qVy5MvPnz8fV1fWaCbeI3Dol3SIiV1G/fn3WrVvHDz/8wCMPtWTJmJWMfvgt1kxPIjcrz9bhCWAxmbVOdxlXw8WF6k5OTN2wkSLT1Ydr7D15kic++piosW+wJfMUM2fO5NDhwwwYMKDMJduX6tWrF127dqV///5k3qbx61I2ffnll3h4eODh4UGFChVYuXIlixcvxuGSVRQOHTrEtm3b6N69OwBPPvkkc+bMwWw2l3rdI0eOYDabGT9+PFOnTmXZsmWcPXuWVq1aYTQaryu23377jbFjx9K/f3/rvn79+lG3bl1q1arFuHHjWLJkCefOneO1115j2rRpjB49mtDQUNq0aUNGRsZNPhURuRp1LxcRuQE//fQTEydOZM6cjzE4OfBwjzjin2qCt5+XrUO7bw0Ne4lenl4871PF1qHIVXx9IZuhJ0+y8Kn/R4+GDS87vifjJGO/+oqlu36gerVq/Pvll+nbty/Ozs42iPbmnDlzhqioKLy8vKhRo4atw5EbFBYWxrvvvgtcvXt5RkYGM2fOBC5OZDZjxgy++uorduzYQWBgIIB1TPaqVasAMBqN+Pv7s2jRIlq3bn3F+48fP56XX36ZdevWWducPn0aPz8/1qxZc9Wx3QDZ2dm0bt0ab29vVq5cSbly5Upt27dvX2JiYggODubf//4327dvZ8KECezZs+eKvTXUvVzk1jjZOgAREXtSo0YNZs6cyZgxY3j33XeZ/v50kudt4S9dYmj1TDP8aijxu9vMZosq3XagVQVPvJ1+ZeLX/+GJBg2sX+I3HjjIpKQk1qTuIbB6dWbNmkWfPn3sKtn+Q+XKlVmxYgVTpky5akVTyiY3N7fraufu7k5oaKj1fWxsLF5eXsyePZs33ngDk8nEJ598wqlTp6xdvAFMJhMJCQmlJt3+/v4A1KpVy7rPx8eHypUrc/z48avGdOHCBdq2bYuHhweff/75VRPuDRs2kJaWRkJCAiNHjqR9+/a4u7vz+OOPM3369Ot6BiJyY5R0i4jcBF9fX8aPH8+oUaOYNWsWkyZPZMvSSdRrE0WbAc0JqlvN1iHeN8wWi8Z024keXl7MOP4zmw4d4udz55iUtJHdx48THVWbuXPn0qNHD7tMti/VuHFjGjdubOsw5C4yGAw4ODiQn58PwJo1a7hw4QIpKSk4Ov5v8s39+/fTs2dPfvvtt8vGfwM89NBDABw4cIAHH3wQuFhJP3PmjLWCfiXZ2dm0adMGFxcXVq5ciaura6ltCwoKGDRoEAsXLsTR0RGTyWStYBcVFWG6xvAPEbk5Kg2IiNwCT09PRo4cybGj6cyaNYvsn/J467H3mNpzNmmbD6o73l1gtqjSbS+6e1WknIMDj0x5l15z5uEbGcn69ev574+pdlvdlvtPYWEhp06d4tSpU+zbt4/BgweTk5NDx44dgYsTqHXo0IG6desSFRVl3f72t7/h4+PD/Pnzr3jd8PBwOnfuzNChQ9myZQt79uyhT58+REZG0qJFCwAyMjKIjIxkx44dwMUKd+vWrcnNzSUhIYHs7GxrbFdKoF9//XU6dOhATEwMcDHRX7FiBT/++CPTp0+3Jv4icnup0i0ichu4urryz3/+k379+vH555/z5lvjmdb7IwJrP0iTJ/9Cg0fr4upRevVBbo6xwIgFVOku49IKClhw/hxrcnLAwYGWjzzCpEmTiIqKsnVoIjfsjyXAACpUqEBkZCRLly6lefPm/PLLL6xevZqFCxdedp7BYKBr164kJCQwdOjQK177k08+Yfjw4XTo0AEHBweaNWvG2rVrrd3Fi4qKOHDgAHl5Fyfy3LVrF9u3bwco0eUdLq7BfekSZXv27GHp0qXs3r3buq9bt24kJyfTpEkTIiIirhi3iNw6TaQmInIHWCwWNmzYwMSJE1m3bh0ubs7Uf7QOD3ePIzimOgaDksTb4fwvWYz66zgm+QfQztPT1uHIJYosFpJyLrAgO5tdOTk86O/PoCFDePrpp6lcubKtwxO5Kk0cVpKeh8itUaVbROQOMBgMxMfHEx8fz/Hjx5k7dy4fffwRE5a8T0CoH427N+AvXepToZKHrUO1a7nnLlZ7XFTpLjOOFBaSmJ3FqtxcfikspMlDD7Fs+HA6d+5cYlIpERGR+4Uq3SIid4nZbCYpKYnZH83mi8REzBYLdVrW4qHuDan5cBgOjhqXfKMO7TjCpO4f8NGD1Wjs7m7rcO5bWSYTX2Vn80VuDv/NzcXb05Mnevakf//+1K1b19bhidwwVXZL0vMQuTX6yVlE5C5xcHCgVatWtGrVijNnzjB//nxmfzSb9/omUCngAf7arT6N/t6Ayg8+YOtQ7UZedgEAbqp033XFFgvf5eaSeCGbjTk5mIA2bdowul8/OnbsiIuLi61DFBERKRNU6RYRsSGLxcKOHTtISEhg4aKF5OXmUfPhMBo/3pC6rWpTzkW/jV7NtuXfM3fEEpYFBlHrKsvkyO1zqLCQxKwsvszL5XRhIVE1a9L3qafo2bMnfn5+tg5P5LZQZbckPQ+RW6OkW0SkjMjJyWHp0qV8+NGHbNuyjQreHtR/tA7120cT1jBY3c+vYOPc71j8/79gdXAwwc6qrN4p54qLWX0hmy9yc9mbm0tlb2/+0asXffv2pV69epoYUO45SjJL0vMQuTVKukVEyqB9+/aRkJDAosWLOHniJJ6VKlC3dS1i2kYT0agGjuUcbR1imbBmehIrJ60jKaQG/r8vqSO3R2ZRERtzckjKy2NnXi4YDHRo356+/frRvn17rakt9zQlmSXpeYjcGiXdIiJlmNlsZufOnSxfvpwly5aQfjQdj4ruRLesSUzbKGo+HH5fd0Ff8fYa1n+QzHc1QvHWzNi3xGKxcLCwkA05OWwoyGdvbi5Ojo60aNGCx7p04e9//zs+Pj62DlPkrggKCiI9Pd3WYZQZgYGBHDt2zNZhiNgtJd0iInbCYrGwe/duli1bxpJlSzh88DCu5V2o2SSM6Ja1iG4Red8tQbbwlRVsmr+NXWHhuDmo+/2NKrZY+CE/72KinZ/PiYICKri7075DBx7r0oV27drh5eVl6zBFRETsmpJuERE7ZLFY2Lt3LytXrmTlyi/YsWMnACExgUS3rEmd+Jr4h/ne82Nt57zwGdtX/MCe8Agc7vHPervkmc18l5vLhpwcvinI57zRSICvL527dqVz5840b95cM4+LiIjcRkq6RUTsUGpqKkajkdjYWAB++eUXVq9ezcpVK1m/fj35eflUqV6ZiIdrEBYXQmjDYB4IqGjboO+AWc9+wp51e/lveIStQymzjBYLe/Lz2Zmfx86CQnbl51FoMlErIoIu3brRuXNnYmNjcVBPARERkTtCSbeIiB2Ki4ujdu3azJkz57JjBQUFbNy4kS+//JINyRvYn7YfgCrVKxPSMJCwuBDC4oLxCaxk95XwaX0/4vjmw+wIC7d1KGXGH0n2jvw8dhYUkJKfT4HJRAV3d5o0aUJ8q1Z06tSJ0NBQW4cqIiJyX9CsMyIidubEiRPs3LmTYcOGXfG4q6sr7dq1o127dgCcPn2ab7/9lk2bNpG8KZkFny/HbDbj7VuRGg0DCW0YTFhcMP7hvnZX7SzKL8LVzmK+3YwWC6mXVLJT8vMoMJnwdHenSdOmjH3kEZo3b069evVw0mRzIiIid53+9RURsTNffPEFTk5OtG/f/rra+/j40KVLF7p06QJAVlYWW7ZsuZiEf5PM8jdWU1RUhEdFd2o0CCI0LoiwuBCq1Q7A0alsL01mLCjCxc6r9Tfqt+Ji9hYUsKeggO8LC9j9eyXb092dps2aMbZFCyXZIiIiZYi6l4uI2JlWrVphMBhYv379bbleXl4e27dvZ9OmTXyzKZmtW7dRkF+Aq7sr1WoHEBDuS0CEHwHhfgRE+OLuVf623Pd2eL3NJMqnn2dlULCtQ7kjzhQXk1ZQQFphAXsLC0krKiKzoACAihUq8HCTJjS/pJLt6Fi2fyQRERG5H+kncBERO3Lu3DmSk5OZNm3abbtm+fLladGiBS1atABew2g0smvXLjZt2sTu3bv5MeVHvvtsJ8XFxQB4+1YkIMIX/9+T8arhvviH+eLs5nzbYrpexcZiXA32373caDZzxGjkYGEh+wsLOVhk5GBREWcKC4GLCXZsgwb0atiQ2NhYYmNjCQkJsfsx+SIiIvcDJd0iInZk9erVFBcX06lTpzt2D2dnZxo1akSjRo2s+4xGIwcPHmTPnj3s2bOH1D2ppG5IJSlhMxaLBYPBgG+gD37hPtaKeEC4H1WCKuPkfOf+qSk2mijvYB+JZ57ZTEZRET8XGS++Gos4UVzEz2YL6fn5FFvMAARVq0bdmIeJr1uX6Oho6tevrwRbRETEjinpFhGxI4mJicTFxVG1atW7el9nZ2eioqKIiooqsT83N5e0tLT/JeOpqfywIpU1J5MAMBgMeFX2pKKvJ56+FfDyrUBFXy8q+nlR0dfT+lrey+2mkspiYzFuZSQZNVks/FpczInfE+sTRUWcMBaRYTHz8yVVawBXZ2eCAwOpER5O+5AQatWqRZ06dYiKisLT09Pa7ty5c6SnpyvhFhERsWNKukVE7ER+fj5r165l9OjRtg7Fyt3dnYYNG9KwYcMS+8+ePcuePXs4dOgQGRkZZGRkcCLjBBlpGez7z0+c+fVMifbOrs54+1bEy7cCXn4V8KriSUW/i8m6WwU3XD1ccCnv8vurM64eLjg5O2EuMuPqcPvHMRstFrJMJs7/vp0zFXPeZLb+Octk4rzZTBZwzmzmfHExWUYjl06SEuDrS0hEBNGhoXQOCSHkks3Pz++6EumlS5cyYsQIzp07p/HaIiIidkoTqYmI2IlVq1bRqVMn9u3bR2RkpK3DuSVGo5HMzExrQp6RkcHJkyetyfmJjBOczDhJQX5BqddwcHTAYDLjZHDAx9UFZwcHnDHgbABnLm4AJqD40s1i+d/rnzezmWKLhUKT6bL7GQwGHvDy4gFvbyr7+FC5ShUqVa5MpUqVqPz7a9WqVQkJCSEoKAhXV9dbfk5JSUm0bNmS/fv3ExERccvXExERkbtPlW4RETuRmJhIRESE3SfccLG7emBgIIGBgaW2sVgsZGVlkZ2dTU5ODhcuXCjxmpOTw5EjR3BwcMDR0ZGCggIKCwspLCy0/hmgXLlyODk5Ua5cOev25/d/3ufh4WFNpP/YKlaseNerzfXq1QMgJSVFSbeIiIidUtJdBgQFBZGenm7rMOxKYGAgx44ds3UYIneNyWRi5cqVPP3007YO5a4xGAxUrFiRihUr2joUm6lUqRLVqlVj9+7dPPHEE7YOR0RERG6Cku4yID09HfXyvzGaVEjuN9999x1nzpzhscces3UocpfFxMSQkpJi6zBERETkJtn/4qYiIveBxMRE/P39L5uwTO599erVIyUlRT/OioiI2Ckl3SIiZZzFYiExMZHHHnsMBwf9tX2/iYmJ4fTp05w8edLWoYiIiMhN0Lc3EZEy7scff+To0aPqWn6fiomJAWD37t22DURERERuipJuEZEyLjExES8vL5o3b27rUMQGqlevjre3t8Z1i4iI2Ckl3WXcqVOnGDx4MCEhIbi4uFCtWjU6duxIUlKStU1QUBAGg4Ft27aVOHfYsGElvqSPGTMGg8GAwWDA0dGRatWq8fTTT3P69OlS719cXMzo0aMJDg7Gzc2NkJAQXn/9dcxmc6nnJCcnW+9z6bZ//35rm6+//prw8HC8vLzo06cPRqPReiwrK4vw8HCOHz9+I49K5J6VmJhIhw4dcHZ2vnZjuecYDAbruG4RERGxP0q6y7Bjx44RGxvLhg0bmDBhAqmpqaxdu5YWLVowaNCgEm1dXV158cUXr3nN2rVrk5mZyfHjx5k5cyarVq2id+/epbZ/++23+eCDD5g+fTr79u1jwoQJvPPOO7z33nvXvNeBAwfIzMy0bmFhYQCYzWZ69uzJgAED2LJlCzt27GD27NnW81588UUGDBhA9erVr3kPkXvd0aNH2b17t7qW3+diYmLUvVxERMROacmwMmzgwIEYDAZ27NiBu7u7dX/t2rXp169fibb9+/dn5syZrFmzhvbt25d6TScnJ/z8/ACoWrUqQ4YM4dVXXyU/Px83N7fL2m/dupXOnTvToUMH4GJVfdGiRXz//ffXjL9KlSpXXF/3zJkznD59moEDB+Lq6kqnTp1IS0sDLi6L9P333/P+++9f8/oi94MvvvgCFxcX2rZta+tQxIZiYmKYPHkyWVlZeHl52TockXteUFAQ6enptg7DbgQGBnLs2DFbhyFSZqnSXUadPXuWtWvXMmjQoBIJ9x/+nMwGBQUxYMAAXnrppat2/f4zNzc3zGYzxcXFVzz+8MMPk5SUxMGDBwH473//y7fffnvVxP4PMTEx+Pv7Ex8fz8aNG637fXx88Pf3Z/369eTn57N582bq1KmD0Wjk2Wef5YMPPsDR0fG6P4PIvSwxMZGWLVtSoUIFW4ciNlSvXj1Ak6mJ3C3p6elYLBZt17npBwqRq1Olu4w6fPgwFouFyMjI6z5n9OjRzJkzhwULFtCrV69rtt+/fz8zZ84kLi6u1C/0L774IllZWURGRuLo6IjJZGLcuHH06NGj1Ov6+/vz4YcfEhsbS2FhIZ9++inx8fEkJyfTtGlTDAYDS5YsYfjw4QwdOpT27dvTr18/3nzzTeLj43Fzc+Ohhx7izJkzDB48mOeee67Ue/32228sXrwYk8l07QckYmeKi4vZvHkzs2bNsnUoYmORkZG4urqSkpJCs2bNbB2OiIiI3AAl3WWUxWIBLk6gc718fHwYMWIEr776Kt27d79im9TUVDw8PDCZTBQWFtK8eXM+/PDDUq+5ePFi5s+fz8KFC6lduza7d+9m2LBhBAQE0KdPnyueExERQUREhPV9o0aN+Pnnn5k4cSJNmzYFLlbQd+7caW1z8OBBPv30U1JSUmjatCnDhg2jbdu2REVF0bRpU+rUqXPFe+3cuZN//etfSrrlnuXr60vnzp1tHYbYmJOTE9HR0ap0i4iI2CEl3WVUWFgYBoOBffv23dAESs8//zwzZsxgxowZVzweERHBypUrcXR0JCAgABcXl6teb+TIkYwaNYonnngCgOjoaNLT03nzzTdLTbqv5K9//Svz58+/4jGLxcIzzzzDpEmTMJvNpKSk0K1bN8qXL0+zZs345ptvSk2627ZtS05OznXHISJir+rVq8f27dttHYaIiIjcII3pLqMeeOAB2rRpw/vvv09ubu5lx8+fP3/F8zw8PHjllVcYN24c2dnZlx13dnYmNDSU4ODgaybcAHl5eTg4lPzfxNHR8YbGjQOkpKTg7+9/xWMJCQlUqlSJTp06WSvWRUVF1ldVsUVELs6TkZaWRmFhoa1DEbkvXWk51Eu3vn37Wttu3LiRRx99FB8fH1xdXalRowbdu3dn06ZNHDt27JrXGjNmzA3F8M4775Qa9+zZs2nSpAne3t54e3vTsmVLduzYUaLNggULqFatGg888AAjR44scezYsWOEh4df8XuliFwfJd1l2IwZMzCZTMTFxbF8+XIOHTrEvn37mDZtGo0aNSr1vGeeeQYvLy8WLVp0yzF07NiRcePGsXr1ao4dO8bnn3/O5MmT6dKli7XNSy+9VGLZsalTp5KYmMihQ4fYu3cvL730EsuXL7/i2Oxff/2VN954g2nTpgHg7e1NzZo1mTp1Klu3biUpKYnGjRvf8ucQEbF3MTExFBcXs3fvXluHInJfunQZ1KlTp+Lp6Vli37vvvgtc/P4WHx9PpUqVWLx4Mfv27ePTTz+lcePGDB8+nGrVqpU474UXXrAu6frHNmLEiGvGkJmZyccff4zBYOBvf/tbqXEnJyfTo0cPNm7cyNatW6levTqtW7cmIyMDuLiqzNNPP83EiRNZt24d8+bNY/Xq1dbzn332Wd566y08PT1v49MUub+oe3kZFhwczA8//MC4ceN44YUXyMzMxMfHh9jYWGbOnFnqeeXKlWPs2LH84x//uOUY3nvvPV555RUGDhzIr7/+SkBAAP379+fVV1+1tvlj3e8/GI1GRowYQUZGBm5ubtSuXZvVq1dfccbzoUOHMmLECKpWrWrdN3fuXPr06cO0adMYOXIkcXFxt/w5RETsXXR0NAaDgZSUFOrXr2/rcETuO38suQrg5eWFwWAosQ/g+PHjDBs2jGHDhjF58mTr/uDgYBo3bsyQIUMuO8/Dw6PEkq7XGwNcXFayRYsWhISElHrOggULSryfPXs2y5YtIykpid69e3PkyBG8vLys8wG1aNGCtLQ0OnTowMKFC3F2dqZr167XjE1ESmew/DFjl9iMwWBA/xlujJ6ZiNyPatasSXx8PNOnT7d1KCL3tGt9z5g7dy7Dhg27bLjflClTeP7558nMzLyuJBpgzJgxJCYm3vBEib/88gsPPvgg8+bNu6FCy4ULF6hSpQpLly7l0Ucf5dy5cwQGBvLNN98QGBhIgwYNmDlzJg0bNiQuLo6NGzdSrVq1q15T38tErk7dy0VEROxETEwMKSkptg5DREpx8OBBPD09SyTcy5cvx8PDw7qlpqbelnvNmzePChUq3HAVetSoUVStWpWWLVsCF4f2zZs3j969exMXF0fv3r1p06YNI0aMYPDgwRw9epSYmBiioqJYtmzZbYld5H6j7uUiIiJ2IiYmhhUrVtCpUydbhyJyzwkLC2PSpEm3fJ0/L/fapk0bdu/eTUZGBs2bN79tE8R+/PHH9OzZE1dX1+s+Z8KECSxatIjk5OQS53Xp0qXEfD3JycmkpqYyffp0QkNDWbRoEX5+fsTFxdG0aVOqVKlyWz6DyP1CSbeIiIid6Nq1K9u2bbOu8CAiZUtYWBhZWVmcOnXKWu328PAgNDQUJ6fb97V78+bNHDhwgMWLF1/3ORMnTmT8+PH85z//KXUpVoDCwkIGDhzI/PnzOXz4MMXFxTRr1gyA8PBwtm/fTseOHW/5M4jcT5R0i4iI2IkaNWqwfPlyW4chIqXo1q0bo0aN4u2332bKlCl37D4JCQnExsZSt27d62r/zjvv8MYbb7Bu3ToaNGhw1bZjx46lXbt21K9fn5SUFIqLi63HtJSryM1R0i0iIiIichtUr16dSZMmMXToUM6ePUvfvn0JDg7m7NmzzJ8/HwBHR8dbukd2djZLly4ttSt87969qVq1Km+++SZwsUv5K6+8wsKFCwkKCuLUqVMA1jHml9q7dy+LFy+2TuoWGRmJg4MDCQkJ+Pn5sX//fho2bHhL8Yvcj5R0lwGBgYGXjf+RqwsMDLR1CCIiIiKXGTx4MDVr1mTy5Ml069aN7OxsKlWqRKNGjVi7di3R0dG3dP3PPvsMi8VCjx49rnj8+PHjODj8b67kGTNmYDQa6datW4l2r732GmPGjLG+t1gsPPPMM0yZMgV3d3cA3NzcmDt3LoMGDaKwsJDp06eXWOZVRK6PlgwTEREREbmElsC6MXpeIlenJcNERERERERE7hAl3SIiIiIiIiJ3iJJuERERERERkTtESbeIiIiIiIjIHaKkW0REREREROQOUdItIiIiIiIicodonW4RERERkUsEBgZiMBhsHYbdCAwMtHUIImWa1ukWERERERERuUPUvVxERERERETkDlHSLSIiIiIiInKHKOkWERERERERuUOUdIuIiIiIiIjcIf8HBj3ABwjgFykAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the composition of the portfolio\n",
    "\n",
    "ax = rp.plot_pie(w=w, title='Sharpe Mean Variance', others=0.05, nrow=25, cmap = \"tab20\",\n",
    "                 height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2 Plotting portfolio composition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Disabled</th>\n",
       "      <th>Type</th>\n",
       "      <th>Set</th>\n",
       "      <th>Position</th>\n",
       "      <th>Sign</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Type Relative</th>\n",
       "      <th>Relative Set</th>\n",
       "      <th>Relative</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>False</td>\n",
       "      <td>Classes</td>\n",
       "      <td>Industry</td>\n",
       "      <td>Energy</td>\n",
       "      <td>&gt;=</td>\n",
       "      <td>8.0000%</td>\n",
       "      <td>Classes</td>\n",
       "      <td>Industry</td>\n",
       "      <td>Financials</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>False</td>\n",
       "      <td>Classes</td>\n",
       "      <td>Industry</td>\n",
       "      <td>Consumer Staples</td>\n",
       "      <td>&gt;=</td>\n",
       "      <td>10.0000%</td>\n",
       "      <td>Classes</td>\n",
       "      <td>Industry</td>\n",
       "      <td>Utilities</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>False</td>\n",
       "      <td>Classes</td>\n",
       "      <td>Industry</td>\n",
       "      <td>Materials</td>\n",
       "      <td>&gt;=</td>\n",
       "      <td>9.0000%</td>\n",
       "      <td>Classes</td>\n",
       "      <td>Industry</td>\n",
       "      <td>Industrials</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Disabled     Type       Set          Position Sign   Weight Type Relative  \\\n",
       "0     False  Classes  Industry            Energy   >=  8.0000%       Classes   \n",
       "1     False  Classes  Industry  Consumer Staples   >= 10.0000%       Classes   \n",
       "2     False  Classes  Industry         Materials   >=  9.0000%       Classes   \n",
       "\n",
       "  Relative Set     Relative  \n",
       "0     Industry   Financials  \n",
       "1     Industry    Utilities  \n",
       "2     Industry  Industrials  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "asset_classes = {'Assets': ['JCI','TGT','CMCSA','CPB','MO','APA','MMC','JPM',\n",
    "                            'ZION','PSA','BAX','BMY','LUV','PCAR','TXT','TMO',\n",
    "                            'DE','MSFT','HPQ','SEE','VZ','CNP','NI','T','BA'], \n",
    "                 'Industry': ['Consumer Discretionary','Consumer Discretionary',\n",
    "                              'Consumer Discretionary', 'Consumer Staples',\n",
    "                              'Consumer Staples','Energy','Financials',\n",
    "                              'Financials','Financials','Financials',\n",
    "                              'Health Care','Health Care','Industrials','Industrials',\n",
    "                              'Industrials','Health care','Industrials',\n",
    "                              'Information Technology','Information Technology',\n",
    "                              'Materials','Telecommunications Services','Utilities',\n",
    "                              'Utilities','Telecommunications Services','Financials']}\n",
    "\n",
    "asset_classes = pd.DataFrame(asset_classes)\n",
    "asset_classes = asset_classes.sort_values(by=['Assets'])\n",
    "\n",
    "views = {'Disabled': [False, False, False],\n",
    "         'Type': ['Classes', 'Classes', 'Classes'],\n",
    "         'Set': ['Industry', 'Industry', 'Industry'],\n",
    "         'Position': ['Energy', 'Consumer Staples', 'Materials'],\n",
    "         'Sign': ['>=', '>=', '>='],\n",
    "         'Weight': [0.08, 0.1, 0.09], # Annual terms \n",
    "         'Type Relative': ['Classes', 'Classes', 'Classes'],\n",
    "         'Relative Set': ['Industry', 'Industry', 'Industry'],\n",
    "         'Relative': ['Financials', 'Utilities', 'Industrials']}\n",
    "\n",
    "views = pd.DataFrame(views)\n",
    "\n",
    "display(views)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-20.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>-50.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>50.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>-25.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>-20.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>-25.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-20.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>50.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>-50.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>-25.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-20.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>100.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>-25.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>-20.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           0         1         2\n",
       "0  100.0000%   0.0000%   0.0000%\n",
       "1  -20.0000%   0.0000%   0.0000%\n",
       "2    0.0000%   0.0000%   0.0000%\n",
       "3    0.0000%   0.0000%   0.0000%\n",
       "4    0.0000%   0.0000%   0.0000%\n",
       "5    0.0000% -50.0000%   0.0000%\n",
       "6    0.0000%  50.0000%   0.0000%\n",
       "7    0.0000%   0.0000% -25.0000%\n",
       "8    0.0000%   0.0000%   0.0000%\n",
       "9    0.0000%   0.0000%   0.0000%\n",
       "10 -20.0000%   0.0000%   0.0000%\n",
       "11   0.0000%   0.0000% -25.0000%\n",
       "12 -20.0000%   0.0000%   0.0000%\n",
       "13   0.0000%  50.0000%   0.0000%\n",
       "14   0.0000%   0.0000%   0.0000%\n",
       "15   0.0000% -50.0000%   0.0000%\n",
       "16   0.0000%   0.0000% -25.0000%\n",
       "17 -20.0000%   0.0000%   0.0000%\n",
       "18   0.0000%   0.0000% 100.0000%\n",
       "19   0.0000%   0.0000%   0.0000%\n",
       "20   0.0000%   0.0000%   0.0000%\n",
       "21   0.0000%   0.0000%   0.0000%\n",
       "22   0.0000%   0.0000% -25.0000%\n",
       "23   0.0000%   0.0000%   0.0000%\n",
       "24 -20.0000%   0.0000%   0.0000%"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9.0000%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         0\n",
       "0  8.0000%\n",
       "1 10.0000%\n",
       "2  9.0000%"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "P, Q = rp.assets_views(views, asset_classes)\n",
    "\n",
    "display(pd.DataFrame(P.T))\n",
    "display(pd.DataFrame(Q))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>weights</th>\n",
       "      <td>0.5319%</td>\n",
       "      <td>5.0300%</td>\n",
       "      <td>11.1756%</td>\n",
       "      <td>0.0039%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>2.3431%</td>\n",
       "      <td>5.8447%</td>\n",
       "      <td>0.6343%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>...</td>\n",
       "      <td>4.8615%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>8.1605%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>6.8848%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>4.5133%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            APA      BA      BAX     BMY   CMCSA     CNP     CPB      DE  \\\n",
       "weights 0.5319% 5.0300% 11.1756% 0.0039% 0.0000% 2.3431% 5.8447% 0.6343%   \n",
       "\n",
       "            HPQ     JCI  ...      NI    PCAR     PSA     SEE       T     TGT  \\\n",
       "weights 0.0000% 0.0000%  ... 4.8615% 0.0000% 0.0000% 8.1605% 0.0000% 6.8848%   \n",
       "\n",
       "            TMO     TXT      VZ    ZION  \n",
       "weights 0.0000% 0.0000% 4.5133% 0.0000%  \n",
       "\n",
       "[1 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Estimate Black Litterman inputs:\n",
    "\n",
    "port.blacklitterman_stats(P, Q/252, rf=rf, w=w, delta=None, eq=True)\n",
    "\n",
    "# Estimate optimal portfolio:\n",
    "\n",
    "model='BL'# Black Litterman\n",
    "rm = 'MV' # Risk measure used, this time will be variance\n",
    "obj = 'Sharpe' # Objective function, could be MinRisk, MaxRet, Utility or Sharpe\n",
    "hist = False # Use historical scenarios for risk measures that depend on scenarios\n",
    "\n",
    "w_bl = port.optimization(model=model, rm=rm, obj=obj, rf=rf, l=l, hist=hist)\n",
    "\n",
    "display(w_bl.T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the composition of the portfolio\n",
    "\n",
    "ax = rp.plot_pie(w=w_bl, title='Sharpe Black Litterman', others=0.05, nrow=25,\n",
    "                 cmap = \"tab20\", height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.3 Calculate efficient frontier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>5.2376%</td>\n",
       "      <td>4.3880%</td>\n",
       "      <td>2.1297%</td>\n",
       "      <td>6.9906%</td>\n",
       "      <td>3.2269%</td>\n",
       "      <td>0.0743%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>2.8447%</td>\n",
       "      <td>...</td>\n",
       "      <td>11.4530%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>14.9246%</td>\n",
       "      <td>0.1680%</td>\n",
       "      <td>6.5902%</td>\n",
       "      <td>4.0900%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>8.2767%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>1.8830%</td>\n",
       "      <td>7.9577%</td>\n",
       "      <td>2.9165%</td>\n",
       "      <td>1.6406%</td>\n",
       "      <td>5.5445%</td>\n",
       "      <td>4.1149%</td>\n",
       "      <td>0.5323%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>1.7322%</td>\n",
       "      <td>...</td>\n",
       "      <td>9.3257%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>9.7755%</td>\n",
       "      <td>3.0748%</td>\n",
       "      <td>4.1231%</td>\n",
       "      <td>5.1901%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>6.9797%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>2.6285%</td>\n",
       "      <td>8.7003%</td>\n",
       "      <td>2.2994%</td>\n",
       "      <td>1.2735%</td>\n",
       "      <td>4.9388%</td>\n",
       "      <td>4.5122%</td>\n",
       "      <td>0.6084%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>1.2641%</td>\n",
       "      <td>...</td>\n",
       "      <td>8.4071%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>7.6806%</td>\n",
       "      <td>4.2311%</td>\n",
       "      <td>3.2354%</td>\n",
       "      <td>5.5890%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>6.4599%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0856%</td>\n",
       "      <td>3.1842%</td>\n",
       "      <td>9.2639%</td>\n",
       "      <td>1.8158%</td>\n",
       "      <td>0.9420%</td>\n",
       "      <td>4.4196%</td>\n",
       "      <td>4.8234%</td>\n",
       "      <td>0.6471%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.8588%</td>\n",
       "      <td>...</td>\n",
       "      <td>7.6804%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>5.9971%</td>\n",
       "      <td>5.1202%</td>\n",
       "      <td>2.4839%</td>\n",
       "      <td>5.8910%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>6.0815%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.2000%</td>\n",
       "      <td>3.6362%</td>\n",
       "      <td>9.7323%</td>\n",
       "      <td>1.4016%</td>\n",
       "      <td>0.6188%</td>\n",
       "      <td>3.9499%</td>\n",
       "      <td>5.0862%</td>\n",
       "      <td>0.6643%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.4799%</td>\n",
       "      <td>...</td>\n",
       "      <td>7.0463%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>4.5151%</td>\n",
       "      <td>5.8624%</td>\n",
       "      <td>1.7948%</td>\n",
       "      <td>6.1410%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>5.7825%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      APA      BA     BAX     BMY   CMCSA     CNP     CPB      DE     HPQ  \\\n",
       "0 0.0000% 0.0000% 5.2376% 4.3880% 2.1297% 6.9906% 3.2269% 0.0743% 0.0000%   \n",
       "1 0.0000% 1.8830% 7.9577% 2.9165% 1.6406% 5.5445% 4.1149% 0.5323% 0.0000%   \n",
       "2 0.0000% 2.6285% 8.7003% 2.2994% 1.2735% 4.9388% 4.5122% 0.6084% 0.0000%   \n",
       "3 0.0856% 3.1842% 9.2639% 1.8158% 0.9420% 4.4196% 4.8234% 0.6471% 0.0000%   \n",
       "4 0.2000% 3.6362% 9.7323% 1.4016% 0.6188% 3.9499% 5.0862% 0.6643% 0.0000%   \n",
       "\n",
       "      JCI  ...       NI    PCAR      PSA     SEE       T     TGT     TMO  \\\n",
       "0 2.8447%  ... 11.4530% 0.0000% 14.9246% 0.1680% 6.5902% 4.0900% 0.0000%   \n",
       "1 1.7322%  ...  9.3257% 0.0000%  9.7755% 3.0748% 4.1231% 5.1901% 0.0000%   \n",
       "2 1.2641%  ...  8.4071% 0.0000%  7.6806% 4.2311% 3.2354% 5.5890% 0.0000%   \n",
       "3 0.8588%  ...  7.6804% 0.0000%  5.9971% 5.1202% 2.4839% 5.8910% 0.0000%   \n",
       "4 0.4799%  ...  7.0463% 0.0000%  4.5151% 5.8624% 1.7948% 6.1410% 0.0000%   \n",
       "\n",
       "      TXT      VZ    ZION  \n",
       "0 0.0000% 8.2767% 0.0000%  \n",
       "1 0.0000% 6.9797% 0.0000%  \n",
       "2 0.0000% 6.4599% 0.0000%  \n",
       "3 0.0000% 6.0815% 0.0000%  \n",
       "4 0.0000% 5.7825% 0.0000%  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "points = 50 # Number of points of the frontier\n",
    "\n",
    "frontier = port.efficient_frontier(model=model, rm=rm, points=points, rf=rf, hist=hist)\n",
    "\n",
    "display(frontier.T.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the efficient frontier\n",
    "\n",
    "label = 'Max Risk Adjusted Return Portfolio' # Title of point\n",
    "mu = port.mu_bl # Expected returns of Black Litterman model\n",
    "cov = port.cov_bl # Covariance matrix of Black Litterman model\n",
    "returns = port.returns # Returns of the assets\n",
    "\n",
    "ax = rp.plot_frontier(w_frontier=frontier, mu=mu, cov=cov, returns=returns, rm=rm,\n",
    "                      rf=rf, alpha=0.05, cmap='viridis', w=w_bl, label=label,\n",
    "                      marker='*', s=16, c='r', height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting efficient frontier composition\n",
    "\n",
    "ax = rp.plot_frontier_area(w_frontier=frontier, cmap=\"tab20\", height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Estimating Black Litterman Mean Risk Portfolios\n",
    "\n",
    "When we use risk measures different than Standard Deviation, Riskfolio-Lib only considers the vector of expected returns, and use historical returns to calculate risk measures.\n",
    "\n",
    "### 3.4 Calculate Black Litterman Portfolios for Several Risk Measures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Risk Measures available:\n",
    "#\n",
    "# 'MV': Standard Deviation.\n",
    "# 'MAD': Mean Absolute Deviation.\n",
    "# 'MSV': Semi Standard Deviation.\n",
    "# 'FLPM': First Lower Partial Moment (Omega Ratio).\n",
    "# 'SLPM': Second Lower Partial Moment (Sortino Ratio).\n",
    "# 'CVaR': Conditional Value at Risk.\n",
    "# 'EVaR': Entropic Value at Risk.\n",
    "# 'WR': Worst Realization (Minimax)\n",
    "# 'MDD': Maximum Drawdown of uncompounded cumulative returns (Calmar Ratio).\n",
    "# 'ADD': Average Drawdown of uncompounded cumulative returns.\n",
    "# 'CDaR': Conditional Drawdown at Risk of uncompounded cumulative returns.\n",
    "# 'EDaR': Entropic Drawdown at Risk of uncompounded cumulative returns.\n",
    "# 'UCI': Ulcer Index of uncompounded cumulative returns.\n",
    "\n",
    "rms = ['MV', 'MAD', 'MSV', 'FLPM', 'SLPM', 'CVaR',\n",
    "       'EVaR', 'WR', 'MDD', 'ADD', 'CDaR', 'UCI', 'EDaR']\n",
    "\n",
    "w_s = pd.DataFrame([])\n",
    "port.alpha = 0.05\n",
    "\n",
    "for i in rms:\n",
    "    if i == 'MV':\n",
    "        hist = False\n",
    "    else:\n",
    "        hist = True\n",
    "    w = port.optimization(model=model, rm=i, obj=obj, rf=rf, l=l, hist=hist)\n",
    "    w_s = pd.concat([w_s, w], axis=1)\n",
    "    \n",
    "w_s.columns = rms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "#T_b84ca_row0_col1, #T_b84ca_row0_col2, #T_b84ca_row0_col3, #T_b84ca_row0_col4, #T_b84ca_row0_col5, #T_b84ca_row0_col6, #T_b84ca_row0_col7, #T_b84ca_row0_col8, #T_b84ca_row0_col9, #T_b84ca_row0_col10, #T_b84ca_row0_col11, #T_b84ca_row0_col12, #T_b84ca_row1_col5, #T_b84ca_row1_col6, #T_b84ca_row1_col7, #T_b84ca_row1_col8, #T_b84ca_row1_col12, #T_b84ca_row2_col7, #T_b84ca_row2_col8, #T_b84ca_row2_col10, #T_b84ca_row2_col12, #T_b84ca_row3_col0, #T_b84ca_row3_col2, #T_b84ca_row3_col4, #T_b84ca_row3_col5, #T_b84ca_row3_col8, #T_b84ca_row3_col9, #T_b84ca_row3_col10, #T_b84ca_row3_col11, #T_b84ca_row3_col12, #T_b84ca_row4_col0, #T_b84ca_row4_col1, #T_b84ca_row4_col2, #T_b84ca_row4_col3, #T_b84ca_row4_col4, #T_b84ca_row4_col5, #T_b84ca_row4_col6, #T_b84ca_row4_col7, #T_b84ca_row4_col8, #T_b84ca_row4_col9, #T_b84ca_row4_col10, #T_b84ca_row4_col11, #T_b84ca_row4_col12, #T_b84ca_row5_col7, #T_b84ca_row6_col8, #T_b84ca_row6_col10, #T_b84ca_row6_col11, #T_b84ca_row6_col12, #T_b84ca_row7_col2, #T_b84ca_row7_col4, #T_b84ca_row7_col5, #T_b84ca_row7_col6, #T_b84ca_row7_col7, #T_b84ca_row7_col9, #T_b84ca_row7_col10, #T_b84ca_row7_col11, #T_b84ca_row7_col12, #T_b84ca_row8_col0, #T_b84ca_row8_col1, #T_b84ca_row8_col2, #T_b84ca_row8_col3, #T_b84ca_row8_col4, #T_b84ca_row8_col5, #T_b84ca_row8_col6, #T_b84ca_row8_col7, #T_b84ca_row8_col8, #T_b84ca_row8_col9, #T_b84ca_row8_col10, #T_b84ca_row8_col11, #T_b84ca_row8_col12, #T_b84ca_row9_col0, #T_b84ca_row9_col1, #T_b84ca_row9_col2, #T_b84ca_row9_col3, #T_b84ca_row9_col4, #T_b84ca_row9_col5, #T_b84ca_row9_col6, #T_b84ca_row9_col7, #T_b84ca_row9_col8, #T_b84ca_row9_col10, #T_b84ca_row9_col11, #T_b84ca_row9_col12, #T_b84ca_row10_col5, #T_b84ca_row10_col6, #T_b84ca_row10_col7, #T_b84ca_row10_col8, #T_b84ca_row10_col9, #T_b84ca_row10_col10, #T_b84ca_row10_col11, #T_b84ca_row10_col12, #T_b84ca_row11_col0, #T_b84ca_row11_col1, #T_b84ca_row11_col2, #T_b84ca_row11_col3, #T_b84ca_row11_col4, #T_b84ca_row11_col5, #T_b84ca_row11_col6, #T_b84ca_row11_col7, #T_b84ca_row11_col8, #T_b84ca_row11_col9, #T_b84ca_row11_col10, #T_b84ca_row11_col11, #T_b84ca_row11_col12, #T_b84ca_row12_col8, #T_b84ca_row12_col12, #T_b84ca_row13_col6, #T_b84ca_row13_col7, #T_b84ca_row13_col8, #T_b84ca_row13_col9, #T_b84ca_row13_col10, #T_b84ca_row13_col11, #T_b84ca_row13_col12, #T_b84ca_row15_col6, #T_b84ca_row15_col7, #T_b84ca_row15_col8, #T_b84ca_row15_col12, #T_b84ca_row16_col0, #T_b84ca_row16_col1, #T_b84ca_row16_col2, #T_b84ca_row16_col3, #T_b84ca_row16_col4, #T_b84ca_row16_col5, #T_b84ca_row16_col6, #T_b84ca_row16_col7, #T_b84ca_row16_col8, #T_b84ca_row16_col9, #T_b84ca_row16_col10, #T_b84ca_row16_col11, #T_b84ca_row17_col0, #T_b84ca_row17_col1, #T_b84ca_row17_col3, #T_b84ca_row17_col6, #T_b84ca_row17_col7, #T_b84ca_row17_col8, #T_b84ca_row17_col9, #T_b84ca_row17_col10, #T_b84ca_row17_col12, #T_b84ca_row18_col7, #T_b84ca_row18_col9, #T_b84ca_row18_col10, #T_b84ca_row18_col11, #T_b84ca_row18_col12, #T_b84ca_row19_col0, #T_b84ca_row19_col2, #T_b84ca_row19_col4, #T_b84ca_row19_col5, #T_b84ca_row19_col6, #T_b84ca_row19_col7, #T_b84ca_row19_col8, #T_b84ca_row19_col10, #T_b84ca_row19_col12, #T_b84ca_row20_col8, #T_b84ca_row20_col10, #T_b84ca_row20_col12, #T_b84ca_row21_col0, #T_b84ca_row21_col1, #T_b84ca_row21_col2, #T_b84ca_row21_col3, #T_b84ca_row21_col4, #T_b84ca_row21_col5, #T_b84ca_row21_col6, #T_b84ca_row21_col7, #T_b84ca_row21_col8, #T_b84ca_row21_col10, #T_b84ca_row21_col11, #T_b84ca_row21_col12, #T_b84ca_row22_col0, #T_b84ca_row22_col1, #T_b84ca_row22_col2, #T_b84ca_row22_col3, #T_b84ca_row22_col4, #T_b84ca_row22_col5, #T_b84ca_row22_col6, #T_b84ca_row22_col7, #T_b84ca_row22_col8, #T_b84ca_row22_col9, #T_b84ca_row22_col10, #T_b84ca_row22_col11, #T_b84ca_row22_col12, #T_b84ca_row23_col6, #T_b84ca_row23_col7, #T_b84ca_row23_col8, #T_b84ca_row24_col0, #T_b84ca_row24_col2, #T_b84ca_row24_col4, #T_b84ca_row24_col5, #T_b84ca_row24_col6, #T_b84ca_row24_col7, #T_b84ca_row24_col8, #T_b84ca_row24_col10, #T_b84ca_row24_col11, #T_b84ca_row24_col12 {\n",
       "  background-color: #ffffe5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row1_col0, #T_b84ca_row20_col3 {\n",
       "  background-color: #dbf1a4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row1_col1, #T_b84ca_row5_col9 {\n",
       "  background-color: #c9e99c;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row1_col2, #T_b84ca_row23_col5 {\n",
       "  background-color: #f4fbb7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row1_col3, #T_b84ca_row6_col3 {\n",
       "  background-color: #e8f6ae;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row1_col4, #T_b84ca_row23_col4 {\n",
       "  background-color: #f7fcb9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row1_col9 {\n",
       "  background-color: #e5f5ac;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row1_col10 {\n",
       "  background-color: #fbfed0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row1_col11 {\n",
       "  background-color: #eef9b3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row2_col0 {\n",
       "  background-color: #64bc6f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_b84ca_row2_col1, #T_b84ca_row20_col4, #T_b84ca_row20_col5 {\n",
       "  background-color: #9cd687;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row2_col2, #T_b84ca_row2_col4 {\n",
       "  background-color: #7fc97c;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row2_col3, #T_b84ca_row15_col1 {\n",
       "  background-color: #abdc8d;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row2_col5 {\n",
       "  background-color: #7ac77a;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row2_col6, #T_b84ca_row15_col3, #T_b84ca_row15_col4 {\n",
       "  background-color: #cfec9e;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row2_col9, #T_b84ca_row5_col2 {\n",
       "  background-color: #f9fdc7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row2_col11, #T_b84ca_row15_col9 {\n",
       "  background-color: #f9fdc2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row3_col1 {\n",
       "  background-color: #f8fdc1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row3_col3, #T_b84ca_row5_col3, #T_b84ca_row18_col3 {\n",
       "  background-color: #f5fbb8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row3_col6, #T_b84ca_row5_col1 {\n",
       "  background-color: #eff9b3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row3_col7 {\n",
       "  background-color: #d9f0a3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row5_col0, #T_b84ca_row6_col1, #T_b84ca_row7_col8, #T_b84ca_row19_col3 {\n",
       "  background-color: #f8fcbd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row5_col4, #T_b84ca_row23_col12 {\n",
       "  background-color: #fafdcc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row5_col5 {\n",
       "  background-color: #f9fdc4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row5_col6 {\n",
       "  background-color: #fafdc8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row5_col8, #T_b84ca_row12_col0, #T_b84ca_row12_col5, #T_b84ca_row12_col7, #T_b84ca_row14_col1, #T_b84ca_row14_col2, #T_b84ca_row14_col3, #T_b84ca_row14_col4, #T_b84ca_row14_col6, #T_b84ca_row14_col9, #T_b84ca_row14_col10, #T_b84ca_row14_col11, #T_b84ca_row14_col12 {\n",
       "  background-color: #004529;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_b84ca_row5_col10 {\n",
       "  background-color: #2d914b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_b84ca_row5_col11, #T_b84ca_row12_col11 {\n",
       "  background-color: #a9db8c;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row5_col12 {\n",
       "  background-color: #278946;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_b84ca_row6_col0 {\n",
       "  background-color: #ceeb9e;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row6_col2, #T_b84ca_row13_col0 {\n",
       "  background-color: #c7e89a;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row6_col4 {\n",
       "  background-color: #bee596;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row6_col5 {\n",
       "  background-color: #92d183;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row6_col6 {\n",
       "  background-color: #359c53;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_b84ca_row6_col7 {\n",
       "  background-color: #90d083;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row6_col9, #T_b84ca_row15_col5, #T_b84ca_row24_col3 {\n",
       "  background-color: #fcfed3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row7_col0, #T_b84ca_row20_col9 {\n",
       "  background-color: #fdfedb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row7_col1, #T_b84ca_row15_col10, #T_b84ca_row15_col11, #T_b84ca_row18_col8 {\n",
       "  background-color: #fafdcb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row7_col3, #T_b84ca_row21_col9 {\n",
       "  background-color: #feffe2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row9_col9, #T_b84ca_row24_col9 {\n",
       "  background-color: #fdfed9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row10_col0 {\n",
       "  background-color: #c3e698;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row10_col1 {\n",
       "  background-color: #4fb264;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_b84ca_row10_col2 {\n",
       "  background-color: #b5e092;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row10_col3 {\n",
       "  background-color: #72c376;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row10_col4 {\n",
       "  background-color: #bae394;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row12_col1 {\n",
       "  background-color: #2e924c;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_b84ca_row12_col2 {\n",
       "  background-color: #005a31;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_b84ca_row12_col3 {\n",
       "  background-color: #329850;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_b84ca_row12_col4 {\n",
       "  background-color: #005931;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_b84ca_row12_col6 {\n",
       "  background-color: #45ad5f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_b84ca_row12_col9 {\n",
       "  background-color: #a6da8b;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row12_col10, #T_b84ca_row18_col4 {\n",
       "  background-color: #e6f5ac;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row13_col1 {\n",
       "  background-color: #e2f4aa;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row13_col2, #T_b84ca_row13_col4, #T_b84ca_row23_col10 {\n",
       "  background-color: #ebf7b0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row13_col3 {\n",
       "  background-color: #ecf7b1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row13_col5 {\n",
       "  background-color: #f7fcba;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row14_col0 {\n",
       "  background-color: #0e743c;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_b84ca_row14_col5 {\n",
       "  background-color: #0a703a;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_b84ca_row14_col7 {\n",
       "  background-color: #61bb6d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_b84ca_row14_col8 {\n",
       "  background-color: #298c48;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_b84ca_row15_col0 {\n",
       "  background-color: #ddf1a6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row15_col2 {\n",
       "  background-color: #d0ec9f;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row16_col12, #T_b84ca_row17_col2 {\n",
       "  background-color: #fcfed4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row17_col4, #T_b84ca_row24_col1 {\n",
       "  background-color: #fbfed2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row17_col5 {\n",
       "  background-color: #b8e293;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row17_col11, #T_b84ca_row19_col9, #T_b84ca_row20_col11 {\n",
       "  background-color: #feffe1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row18_col0, #T_b84ca_row20_col2 {\n",
       "  background-color: #a4d98a;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row18_col1 {\n",
       "  background-color: #f3fab6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row18_col2 {\n",
       "  background-color: #e7f6ad;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row18_col5 {\n",
       "  background-color: #e4f4ab;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row18_col6, #T_b84ca_row20_col0 {\n",
       "  background-color: #bce395;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row19_col1, #T_b84ca_row23_col2 {\n",
       "  background-color: #f1fab5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row19_col11 {\n",
       "  background-color: #fcfed7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row20_col1 {\n",
       "  background-color: #dcf1a5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row20_col6 {\n",
       "  background-color: #30954f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_b84ca_row20_col7 {\n",
       "  background-color: #5db96b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_b84ca_row23_col0 {\n",
       "  background-color: #e0f3a8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row23_col1, #T_b84ca_row23_col3 {\n",
       "  background-color: #def2a7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b84ca_row23_col9, #T_b84ca_row23_col11 {\n",
       "  background-color: #dff3a8;\n",
       "  color: #000000;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_b84ca\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_b84ca_level0_col0\" class=\"col_heading level0 col0\" >MV</th>\n",
       "      <th id=\"T_b84ca_level0_col1\" class=\"col_heading level0 col1\" >MAD</th>\n",
       "      <th id=\"T_b84ca_level0_col2\" class=\"col_heading level0 col2\" >MSV</th>\n",
       "      <th id=\"T_b84ca_level0_col3\" class=\"col_heading level0 col3\" >FLPM</th>\n",
       "      <th id=\"T_b84ca_level0_col4\" class=\"col_heading level0 col4\" >SLPM</th>\n",
       "      <th id=\"T_b84ca_level0_col5\" class=\"col_heading level0 col5\" >CVaR</th>\n",
       "      <th id=\"T_b84ca_level0_col6\" class=\"col_heading level0 col6\" >EVaR</th>\n",
       "      <th id=\"T_b84ca_level0_col7\" class=\"col_heading level0 col7\" >WR</th>\n",
       "      <th id=\"T_b84ca_level0_col8\" class=\"col_heading level0 col8\" >MDD</th>\n",
       "      <th id=\"T_b84ca_level0_col9\" class=\"col_heading level0 col9\" >ADD</th>\n",
       "      <th id=\"T_b84ca_level0_col10\" class=\"col_heading level0 col10\" >CDaR</th>\n",
       "      <th id=\"T_b84ca_level0_col11\" class=\"col_heading level0 col11\" >UCI</th>\n",
       "      <th id=\"T_b84ca_level0_col12\" class=\"col_heading level0 col12\" >EDaR</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_b84ca_level0_row0\" class=\"row_heading level0 row0\" >APA</th>\n",
       "      <td id=\"T_b84ca_row0_col0\" class=\"data row0 col0\" >0.53%</td>\n",
       "      <td id=\"T_b84ca_row0_col1\" class=\"data row0 col1\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row0_col2\" class=\"data row0 col2\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row0_col3\" class=\"data row0 col3\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row0_col4\" class=\"data row0 col4\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row0_col5\" class=\"data row0 col5\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row0_col6\" class=\"data row0 col6\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row0_col7\" class=\"data row0 col7\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row0_col8\" class=\"data row0 col8\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row0_col9\" class=\"data row0 col9\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row0_col10\" class=\"data row0 col10\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row0_col11\" class=\"data row0 col11\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row0_col12\" class=\"data row0 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b84ca_level0_row1\" class=\"row_heading level0 row1\" >BA</th>\n",
       "      <td id=\"T_b84ca_row1_col0\" class=\"data row1 col0\" >5.03%</td>\n",
       "      <td id=\"T_b84ca_row1_col1\" class=\"data row1 col1\" >6.06%</td>\n",
       "      <td id=\"T_b84ca_row1_col2\" class=\"data row1 col2\" >3.10%</td>\n",
       "      <td id=\"T_b84ca_row1_col3\" class=\"data row1 col3\" >4.27%</td>\n",
       "      <td id=\"T_b84ca_row1_col4\" class=\"data row1 col4\" >2.82%</td>\n",
       "      <td id=\"T_b84ca_row1_col5\" class=\"data row1 col5\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row1_col6\" class=\"data row1 col6\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row1_col7\" class=\"data row1 col7\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row1_col8\" class=\"data row1 col8\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row1_col9\" class=\"data row1 col9\" >8.05%</td>\n",
       "      <td id=\"T_b84ca_row1_col10\" class=\"data row1 col10\" >2.64%</td>\n",
       "      <td id=\"T_b84ca_row1_col11\" class=\"data row1 col11\" >6.75%</td>\n",
       "      <td id=\"T_b84ca_row1_col12\" class=\"data row1 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b84ca_level0_row2\" class=\"row_heading level0 row2\" >BAX</th>\n",
       "      <td id=\"T_b84ca_row2_col0\" class=\"data row2 col0\" >11.18%</td>\n",
       "      <td id=\"T_b84ca_row2_col1\" class=\"data row2 col1\" >8.54%</td>\n",
       "      <td id=\"T_b84ca_row2_col2\" class=\"data row2 col2\" >10.66%</td>\n",
       "      <td id=\"T_b84ca_row2_col3\" class=\"data row2 col3\" >8.54%</td>\n",
       "      <td id=\"T_b84ca_row2_col4\" class=\"data row2 col4\" >10.66%</td>\n",
       "      <td id=\"T_b84ca_row2_col5\" class=\"data row2 col5\" >11.94%</td>\n",
       "      <td id=\"T_b84ca_row2_col6\" class=\"data row2 col6\" >7.32%</td>\n",
       "      <td id=\"T_b84ca_row2_col7\" class=\"data row2 col7\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row2_col8\" class=\"data row2 col8\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row2_col9\" class=\"data row2 col9\" >3.50%</td>\n",
       "      <td id=\"T_b84ca_row2_col10\" class=\"data row2 col10\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row2_col11\" class=\"data row2 col11\" >4.20%</td>\n",
       "      <td id=\"T_b84ca_row2_col12\" class=\"data row2 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b84ca_level0_row3\" class=\"row_heading level0 row3\" >BMY</th>\n",
       "      <td id=\"T_b84ca_row3_col0\" class=\"data row3 col0\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row3_col1\" class=\"data row3 col1\" >2.11%</td>\n",
       "      <td id=\"T_b84ca_row3_col2\" class=\"data row3 col2\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row3_col3\" class=\"data row3 col3\" >3.01%</td>\n",
       "      <td id=\"T_b84ca_row3_col4\" class=\"data row3 col4\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row3_col5\" class=\"data row3 col5\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row3_col6\" class=\"data row3 col6\" >4.13%</td>\n",
       "      <td id=\"T_b84ca_row3_col7\" class=\"data row3 col7\" >8.94%</td>\n",
       "      <td id=\"T_b84ca_row3_col8\" class=\"data row3 col8\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row3_col9\" class=\"data row3 col9\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row3_col10\" class=\"data row3 col10\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row3_col11\" class=\"data row3 col11\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row3_col12\" class=\"data row3 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b84ca_level0_row4\" class=\"row_heading level0 row4\" >CMCSA</th>\n",
       "      <td id=\"T_b84ca_row4_col0\" class=\"data row4 col0\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row4_col1\" class=\"data row4 col1\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row4_col2\" class=\"data row4 col2\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row4_col3\" class=\"data row4 col3\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row4_col4\" class=\"data row4 col4\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row4_col5\" class=\"data row4 col5\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row4_col6\" class=\"data row4 col6\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row4_col7\" class=\"data row4 col7\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row4_col8\" class=\"data row4 col8\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row4_col9\" class=\"data row4 col9\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row4_col10\" class=\"data row4 col10\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row4_col11\" class=\"data row4 col11\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row4_col12\" class=\"data row4 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b84ca_level0_row5\" class=\"row_heading level0 row5\" >CNP</th>\n",
       "      <td id=\"T_b84ca_row5_col0\" class=\"data row5 col0\" >2.34%</td>\n",
       "      <td id=\"T_b84ca_row5_col1\" class=\"data row5 col1\" >3.26%</td>\n",
       "      <td id=\"T_b84ca_row5_col2\" class=\"data row5 col2\" >1.92%</td>\n",
       "      <td id=\"T_b84ca_row5_col3\" class=\"data row5 col3\" >2.98%</td>\n",
       "      <td id=\"T_b84ca_row5_col4\" class=\"data row5 col4\" >1.58%</td>\n",
       "      <td id=\"T_b84ca_row5_col5\" class=\"data row5 col5\" >2.27%</td>\n",
       "      <td id=\"T_b84ca_row5_col6\" class=\"data row5 col6\" >2.20%</td>\n",
       "      <td id=\"T_b84ca_row5_col7\" class=\"data row5 col7\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row5_col8\" class=\"data row5 col8\" >52.20%</td>\n",
       "      <td id=\"T_b84ca_row5_col9\" class=\"data row5 col9\" >11.94%</td>\n",
       "      <td id=\"T_b84ca_row5_col10\" class=\"data row5 col10\" >31.88%</td>\n",
       "      <td id=\"T_b84ca_row5_col11\" class=\"data row5 col11\" >16.08%</td>\n",
       "      <td id=\"T_b84ca_row5_col12\" class=\"data row5 col12\" >39.44%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b84ca_level0_row6\" class=\"row_heading level0 row6\" >CPB</th>\n",
       "      <td id=\"T_b84ca_row6_col0\" class=\"data row6 col0\" >5.84%</td>\n",
       "      <td id=\"T_b84ca_row6_col1\" class=\"data row6 col1\" >2.39%</td>\n",
       "      <td id=\"T_b84ca_row6_col2\" class=\"data row6 col2\" >6.71%</td>\n",
       "      <td id=\"T_b84ca_row6_col3\" class=\"data row6 col3\" >4.21%</td>\n",
       "      <td id=\"T_b84ca_row6_col4\" class=\"data row6 col4\" >7.18%</td>\n",
       "      <td id=\"T_b84ca_row6_col5\" class=\"data row6 col5\" >10.57%</td>\n",
       "      <td id=\"T_b84ca_row6_col6\" class=\"data row6 col6\" >17.55%</td>\n",
       "      <td id=\"T_b84ca_row6_col7\" class=\"data row6 col7\" >15.82%</td>\n",
       "      <td id=\"T_b84ca_row6_col8\" class=\"data row6 col8\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row6_col9\" class=\"data row6 col9\" >2.11%</td>\n",
       "      <td id=\"T_b84ca_row6_col10\" class=\"data row6 col10\" >0.17%</td>\n",
       "      <td id=\"T_b84ca_row6_col11\" class=\"data row6 col11\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row6_col12\" class=\"data row6 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b84ca_level0_row7\" class=\"row_heading level0 row7\" >DE</th>\n",
       "      <td id=\"T_b84ca_row7_col0\" class=\"data row7 col0\" >0.63%</td>\n",
       "      <td id=\"T_b84ca_row7_col1\" class=\"data row7 col1\" >1.56%</td>\n",
       "      <td id=\"T_b84ca_row7_col2\" class=\"data row7 col2\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row7_col3\" class=\"data row7 col3\" >0.22%</td>\n",
       "      <td id=\"T_b84ca_row7_col4\" class=\"data row7 col4\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row7_col5\" class=\"data row7 col5\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row7_col6\" class=\"data row7 col6\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row7_col7\" class=\"data row7 col7\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row7_col8\" class=\"data row7 col8\" >5.92%</td>\n",
       "      <td id=\"T_b84ca_row7_col9\" class=\"data row7 col9\" >0.09%</td>\n",
       "      <td id=\"T_b84ca_row7_col10\" class=\"data row7 col10\" >0.05%</td>\n",
       "      <td id=\"T_b84ca_row7_col11\" class=\"data row7 col11\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row7_col12\" class=\"data row7 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b84ca_level0_row8\" class=\"row_heading level0 row8\" >HPQ</th>\n",
       "      <td id=\"T_b84ca_row8_col0\" class=\"data row8 col0\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row8_col1\" class=\"data row8 col1\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row8_col2\" class=\"data row8 col2\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row8_col3\" class=\"data row8 col3\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row8_col4\" class=\"data row8 col4\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row8_col5\" class=\"data row8 col5\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row8_col6\" class=\"data row8 col6\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row8_col7\" class=\"data row8 col7\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row8_col8\" class=\"data row8 col8\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row8_col9\" class=\"data row8 col9\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row8_col10\" class=\"data row8 col10\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row8_col11\" class=\"data row8 col11\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row8_col12\" class=\"data row8 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b84ca_level0_row9\" class=\"row_heading level0 row9\" >JCI</th>\n",
       "      <td id=\"T_b84ca_row9_col0\" class=\"data row9 col0\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row9_col1\" class=\"data row9 col1\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row9_col2\" class=\"data row9 col2\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row9_col3\" class=\"data row9 col3\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row9_col4\" class=\"data row9 col4\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row9_col5\" class=\"data row9 col5\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row9_col6\" class=\"data row9 col6\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row9_col7\" class=\"data row9 col7\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row9_col8\" class=\"data row9 col8\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row9_col9\" class=\"data row9 col9\" >1.54%</td>\n",
       "      <td id=\"T_b84ca_row9_col10\" class=\"data row9 col10\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row9_col11\" class=\"data row9 col11\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row9_col12\" class=\"data row9 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b84ca_level0_row10\" class=\"row_heading level0 row10\" >JPM</th>\n",
       "      <td id=\"T_b84ca_row10_col0\" class=\"data row10 col0\" >6.41%</td>\n",
       "      <td id=\"T_b84ca_row10_col1\" class=\"data row10 col1\" >12.14%</td>\n",
       "      <td id=\"T_b84ca_row10_col2\" class=\"data row10 col2\" >7.80%</td>\n",
       "      <td id=\"T_b84ca_row10_col3\" class=\"data row10 col3\" >11.52%</td>\n",
       "      <td id=\"T_b84ca_row10_col4\" class=\"data row10 col4\" >7.43%</td>\n",
       "      <td id=\"T_b84ca_row10_col5\" class=\"data row10 col5\" >0.01%</td>\n",
       "      <td id=\"T_b84ca_row10_col6\" class=\"data row10 col6\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row10_col7\" class=\"data row10 col7\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row10_col8\" class=\"data row10 col8\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row10_col9\" class=\"data row10 col9\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row10_col10\" class=\"data row10 col10\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row10_col11\" class=\"data row10 col11\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row10_col12\" class=\"data row10 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b84ca_level0_row11\" class=\"row_heading level0 row11\" >LUV</th>\n",
       "      <td id=\"T_b84ca_row11_col0\" class=\"data row11 col0\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row11_col1\" class=\"data row11 col1\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row11_col2\" class=\"data row11 col2\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row11_col3\" class=\"data row11 col3\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row11_col4\" class=\"data row11 col4\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row11_col5\" class=\"data row11 col5\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row11_col6\" class=\"data row11 col6\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row11_col7\" class=\"data row11 col7\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row11_col8\" class=\"data row11 col8\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row11_col9\" class=\"data row11 col9\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row11_col10\" class=\"data row11 col10\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row11_col11\" class=\"data row11 col11\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row11_col12\" class=\"data row11 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b84ca_level0_row12\" class=\"row_heading level0 row12\" >MMC</th>\n",
       "      <td id=\"T_b84ca_row12_col0\" class=\"data row12 col0\" >20.51%</td>\n",
       "      <td id=\"T_b84ca_row12_col1\" class=\"data row12 col1\" >14.47%</td>\n",
       "      <td id=\"T_b84ca_row12_col2\" class=\"data row12 col2\" >20.37%</td>\n",
       "      <td id=\"T_b84ca_row12_col3\" class=\"data row12 col3\" >15.33%</td>\n",
       "      <td id=\"T_b84ca_row12_col4\" class=\"data row12 col4\" >20.52%</td>\n",
       "      <td id=\"T_b84ca_row12_col5\" class=\"data row12 col5\" >24.15%</td>\n",
       "      <td id=\"T_b84ca_row12_col6\" class=\"data row12 col6\" >15.99%</td>\n",
       "      <td id=\"T_b84ca_row12_col7\" class=\"data row12 col7\" >35.57%</td>\n",
       "      <td id=\"T_b84ca_row12_col8\" class=\"data row12 col8\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row12_col9\" class=\"data row12 col9\" >15.91%</td>\n",
       "      <td id=\"T_b84ca_row12_col10\" class=\"data row12 col10\" >8.81%</td>\n",
       "      <td id=\"T_b84ca_row12_col11\" class=\"data row12 col11\" >15.99%</td>\n",
       "      <td id=\"T_b84ca_row12_col12\" class=\"data row12 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b84ca_level0_row13\" class=\"row_heading level0 row13\" >MO</th>\n",
       "      <td id=\"T_b84ca_row13_col0\" class=\"data row13 col0\" >6.20%</td>\n",
       "      <td id=\"T_b84ca_row13_col1\" class=\"data row13 col1\" >4.34%</td>\n",
       "      <td id=\"T_b84ca_row13_col2\" class=\"data row13 col2\" >3.95%</td>\n",
       "      <td id=\"T_b84ca_row13_col3\" class=\"data row13 col3\" >3.90%</td>\n",
       "      <td id=\"T_b84ca_row13_col4\" class=\"data row13 col4\" >3.96%</td>\n",
       "      <td id=\"T_b84ca_row13_col5\" class=\"data row13 col5\" >3.01%</td>\n",
       "      <td id=\"T_b84ca_row13_col6\" class=\"data row13 col6\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row13_col7\" class=\"data row13 col7\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row13_col8\" class=\"data row13 col8\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row13_col9\" class=\"data row13 col9\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row13_col10\" class=\"data row13 col10\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row13_col11\" class=\"data row13 col11\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row13_col12\" class=\"data row13 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b84ca_level0_row14\" class=\"row_heading level0 row14\" >MSFT</th>\n",
       "      <td id=\"T_b84ca_row14_col0\" class=\"data row14 col0\" >16.89%</td>\n",
       "      <td id=\"T_b84ca_row14_col1\" class=\"data row14 col1\" >20.52%</td>\n",
       "      <td id=\"T_b84ca_row14_col2\" class=\"data row14 col2\" >22.07%</td>\n",
       "      <td id=\"T_b84ca_row14_col3\" class=\"data row14 col3\" >22.39%</td>\n",
       "      <td id=\"T_b84ca_row14_col4\" class=\"data row14 col4\" >22.10%</td>\n",
       "      <td id=\"T_b84ca_row14_col5\" class=\"data row14 col5\" >20.20%</td>\n",
       "      <td id=\"T_b84ca_row14_col6\" class=\"data row14 col6\" >26.02%</td>\n",
       "      <td id=\"T_b84ca_row14_col7\" class=\"data row14 col7\" >19.67%</td>\n",
       "      <td id=\"T_b84ca_row14_col8\" class=\"data row14 col8\" >37.83%</td>\n",
       "      <td id=\"T_b84ca_row14_col9\" class=\"data row14 col9\" >40.33%</td>\n",
       "      <td id=\"T_b84ca_row14_col10\" class=\"data row14 col10\" >45.06%</td>\n",
       "      <td id=\"T_b84ca_row14_col11\" class=\"data row14 col11\" >41.64%</td>\n",
       "      <td id=\"T_b84ca_row14_col12\" class=\"data row14 col12\" >53.96%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b84ca_level0_row15\" class=\"row_heading level0 row15\" >NI</th>\n",
       "      <td id=\"T_b84ca_row15_col0\" class=\"data row15 col0\" >4.86%</td>\n",
       "      <td id=\"T_b84ca_row15_col1\" class=\"data row15 col1\" >7.82%</td>\n",
       "      <td id=\"T_b84ca_row15_col2\" class=\"data row15 col2\" >6.04%</td>\n",
       "      <td id=\"T_b84ca_row15_col3\" class=\"data row15 col3\" >6.28%</td>\n",
       "      <td id=\"T_b84ca_row15_col4\" class=\"data row15 col4\" >6.13%</td>\n",
       "      <td id=\"T_b84ca_row15_col5\" class=\"data row15 col5\" >1.25%</td>\n",
       "      <td id=\"T_b84ca_row15_col6\" class=\"data row15 col6\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row15_col7\" class=\"data row15 col7\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row15_col8\" class=\"data row15 col8\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row15_col9\" class=\"data row15 col9\" >3.96%</td>\n",
       "      <td id=\"T_b84ca_row15_col10\" class=\"data row15 col10\" >3.45%</td>\n",
       "      <td id=\"T_b84ca_row15_col11\" class=\"data row15 col11\" >3.12%</td>\n",
       "      <td id=\"T_b84ca_row15_col12\" class=\"data row15 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b84ca_level0_row16\" class=\"row_heading level0 row16\" >PCAR</th>\n",
       "      <td id=\"T_b84ca_row16_col0\" class=\"data row16 col0\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row16_col1\" class=\"data row16 col1\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row16_col2\" class=\"data row16 col2\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row16_col3\" class=\"data row16 col3\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row16_col4\" class=\"data row16 col4\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row16_col5\" class=\"data row16 col5\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row16_col6\" class=\"data row16 col6\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row16_col7\" class=\"data row16 col7\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row16_col8\" class=\"data row16 col8\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row16_col9\" class=\"data row16 col9\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row16_col10\" class=\"data row16 col10\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row16_col11\" class=\"data row16 col11\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row16_col12\" class=\"data row16 col12\" >2.69%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b84ca_level0_row17\" class=\"row_heading level0 row17\" >PSA</th>\n",
       "      <td id=\"T_b84ca_row17_col0\" class=\"data row17 col0\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row17_col1\" class=\"data row17 col1\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row17_col2\" class=\"data row17 col2\" >1.10%</td>\n",
       "      <td id=\"T_b84ca_row17_col3\" class=\"data row17 col3\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row17_col4\" class=\"data row17 col4\" >1.26%</td>\n",
       "      <td id=\"T_b84ca_row17_col5\" class=\"data row17 col5\" >8.30%</td>\n",
       "      <td id=\"T_b84ca_row17_col6\" class=\"data row17 col6\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row17_col7\" class=\"data row17 col7\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row17_col8\" class=\"data row17 col8\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row17_col9\" class=\"data row17 col9\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row17_col10\" class=\"data row17 col10\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row17_col11\" class=\"data row17 col11\" >0.51%</td>\n",
       "      <td id=\"T_b84ca_row17_col12\" class=\"data row17 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b84ca_level0_row18\" class=\"row_heading level0 row18\" >SEE</th>\n",
       "      <td id=\"T_b84ca_row18_col0\" class=\"data row18 col0\" >8.16%</td>\n",
       "      <td id=\"T_b84ca_row18_col1\" class=\"data row18 col1\" >2.95%</td>\n",
       "      <td id=\"T_b84ca_row18_col2\" class=\"data row18 col2\" >4.23%</td>\n",
       "      <td id=\"T_b84ca_row18_col3\" class=\"data row18 col3\" >3.06%</td>\n",
       "      <td id=\"T_b84ca_row18_col4\" class=\"data row18 col4\" >4.36%</td>\n",
       "      <td id=\"T_b84ca_row18_col5\" class=\"data row18 col5\" >4.93%</td>\n",
       "      <td id=\"T_b84ca_row18_col6\" class=\"data row18 col6\" >8.72%</td>\n",
       "      <td id=\"T_b84ca_row18_col7\" class=\"data row18 col7\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row18_col8\" class=\"data row18 col8\" >4.04%</td>\n",
       "      <td id=\"T_b84ca_row18_col9\" class=\"data row18 col9\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row18_col10\" class=\"data row18 col10\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row18_col11\" class=\"data row18 col11\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row18_col12\" class=\"data row18 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b84ca_level0_row19\" class=\"row_heading level0 row19\" >T</th>\n",
       "      <td id=\"T_b84ca_row19_col0\" class=\"data row19 col0\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row19_col1\" class=\"data row19 col1\" >3.12%</td>\n",
       "      <td id=\"T_b84ca_row19_col2\" class=\"data row19 col2\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row19_col3\" class=\"data row19 col3\" >2.55%</td>\n",
       "      <td id=\"T_b84ca_row19_col4\" class=\"data row19 col4\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row19_col5\" class=\"data row19 col5\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row19_col6\" class=\"data row19 col6\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row19_col7\" class=\"data row19 col7\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row19_col8\" class=\"data row19 col8\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row19_col9\" class=\"data row19 col9\" >0.51%</td>\n",
       "      <td id=\"T_b84ca_row19_col10\" class=\"data row19 col10\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row19_col11\" class=\"data row19 col11\" >1.75%</td>\n",
       "      <td id=\"T_b84ca_row19_col12\" class=\"data row19 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b84ca_level0_row20\" class=\"row_heading level0 row20\" >TGT</th>\n",
       "      <td id=\"T_b84ca_row20_col0\" class=\"data row20 col0\" >6.88%</td>\n",
       "      <td id=\"T_b84ca_row20_col1\" class=\"data row20 col1\" >4.90%</td>\n",
       "      <td id=\"T_b84ca_row20_col2\" class=\"data row20 col2\" >8.78%</td>\n",
       "      <td id=\"T_b84ca_row20_col3\" class=\"data row20 col3\" >5.46%</td>\n",
       "      <td id=\"T_b84ca_row20_col4\" class=\"data row20 col4\" >9.17%</td>\n",
       "      <td id=\"T_b84ca_row20_col5\" class=\"data row20 col5\" >10.06%</td>\n",
       "      <td id=\"T_b84ca_row20_col6\" class=\"data row20 col6\" >18.08%</td>\n",
       "      <td id=\"T_b84ca_row20_col7\" class=\"data row20 col7\" >20.00%</td>\n",
       "      <td id=\"T_b84ca_row20_col8\" class=\"data row20 col8\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row20_col9\" class=\"data row20 col9\" >1.14%</td>\n",
       "      <td id=\"T_b84ca_row20_col10\" class=\"data row20 col10\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row20_col11\" class=\"data row20 col11\" >0.64%</td>\n",
       "      <td id=\"T_b84ca_row20_col12\" class=\"data row20 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b84ca_level0_row21\" class=\"row_heading level0 row21\" >TMO</th>\n",
       "      <td id=\"T_b84ca_row21_col0\" class=\"data row21 col0\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row21_col1\" class=\"data row21 col1\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row21_col2\" class=\"data row21 col2\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row21_col3\" class=\"data row21 col3\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row21_col4\" class=\"data row21 col4\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row21_col5\" class=\"data row21 col5\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row21_col6\" class=\"data row21 col6\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row21_col7\" class=\"data row21 col7\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row21_col8\" class=\"data row21 col8\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row21_col9\" class=\"data row21 col9\" >0.47%</td>\n",
       "      <td id=\"T_b84ca_row21_col10\" class=\"data row21 col10\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row21_col11\" class=\"data row21 col11\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row21_col12\" class=\"data row21 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b84ca_level0_row22\" class=\"row_heading level0 row22\" >TXT</th>\n",
       "      <td id=\"T_b84ca_row22_col0\" class=\"data row22 col0\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row22_col1\" class=\"data row22 col1\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row22_col2\" class=\"data row22 col2\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row22_col3\" class=\"data row22 col3\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row22_col4\" class=\"data row22 col4\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row22_col5\" class=\"data row22 col5\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row22_col6\" class=\"data row22 col6\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row22_col7\" class=\"data row22 col7\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row22_col8\" class=\"data row22 col8\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row22_col9\" class=\"data row22 col9\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row22_col10\" class=\"data row22 col10\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row22_col11\" class=\"data row22 col11\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row22_col12\" class=\"data row22 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b84ca_level0_row23\" class=\"row_heading level0 row23\" >VZ</th>\n",
       "      <td id=\"T_b84ca_row23_col0\" class=\"data row23 col0\" >4.51%</td>\n",
       "      <td id=\"T_b84ca_row23_col1\" class=\"data row23 col1\" >4.67%</td>\n",
       "      <td id=\"T_b84ca_row23_col2\" class=\"data row23 col2\" >3.28%</td>\n",
       "      <td id=\"T_b84ca_row23_col3\" class=\"data row23 col3\" >5.11%</td>\n",
       "      <td id=\"T_b84ca_row23_col4\" class=\"data row23 col4\" >2.84%</td>\n",
       "      <td id=\"T_b84ca_row23_col5\" class=\"data row23 col5\" >3.30%</td>\n",
       "      <td id=\"T_b84ca_row23_col6\" class=\"data row23 col6\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row23_col7\" class=\"data row23 col7\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row23_col8\" class=\"data row23 col8\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row23_col9\" class=\"data row23 col9\" >8.99%</td>\n",
       "      <td id=\"T_b84ca_row23_col10\" class=\"data row23 col10\" >7.94%</td>\n",
       "      <td id=\"T_b84ca_row23_col11\" class=\"data row23 col11\" >9.30%</td>\n",
       "      <td id=\"T_b84ca_row23_col12\" class=\"data row23 col12\" >3.91%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b84ca_level0_row24\" class=\"row_heading level0 row24\" >ZION</th>\n",
       "      <td id=\"T_b84ca_row24_col0\" class=\"data row24 col0\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row24_col1\" class=\"data row24 col1\" >1.15%</td>\n",
       "      <td id=\"T_b84ca_row24_col2\" class=\"data row24 col2\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row24_col3\" class=\"data row24 col3\" >1.16%</td>\n",
       "      <td id=\"T_b84ca_row24_col4\" class=\"data row24 col4\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row24_col5\" class=\"data row24 col5\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row24_col6\" class=\"data row24 col6\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row24_col7\" class=\"data row24 col7\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row24_col8\" class=\"data row24 col8\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row24_col9\" class=\"data row24 col9\" >1.47%</td>\n",
       "      <td id=\"T_b84ca_row24_col10\" class=\"data row24 col10\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row24_col11\" class=\"data row24 col11\" >0.00%</td>\n",
       "      <td id=\"T_b84ca_row24_col12\" class=\"data row24 col12\" >0.00%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x12f1d7050>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "w_s.style.format(\"{:.2%}\").background_gradient(cmap='YlGn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Plotting a comparison of assets weights for each portfolio\n",
    "\n",
    "fig = plt.gcf()\n",
    "fig.set_figwidth(14)\n",
    "fig.set_figheight(6)\n",
    "ax = fig.subplots(nrows=1, ncols=1)\n",
    "\n",
    "w_s.plot.bar(ax=ax)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
